Talent Imperatives due to Digitalization and Globalization ... · Perioperative and digital pathology solutions Burlington, Vermont Area Development of next-gen imaging application

Source : DRAUP

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TITLE OF

PRESENTATION

Talent Imperatives due to Digitalization

and Globalization of Medical Devices

February 2019

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Global Medical Devices Ecosystem01

US Deep Dive Analysis02

Major Initiatives in Boston03

DRAUP Capabilities04

This section provides an overview of :

AGENDA

➢ Global Medical Devices ER&D Spend by

key players and Geography

➢ Digital transformation initiatives in medical

devices

➢ Medical devices Taxonomy

➢ Deep dive analysis of medical devices

companies:

• GE Healthcare

• Philips

• Medtronic

• Abbott

• Roche

➢ Emerging Medical device companies

Dashboard

3

Global Medical Devices ER&D Spending: ER&D spend is highly consolidated among the top5 OEMs; Imaging and Non-imaging remain primary spend segments.

R&

D S

pen

d (

in B

n)

41%R&D spend contribution

by Top 5 R&D spenders

32%Next 10 R&D spend contribution

27%R&D spend contribution by Rest of the Companies

Region-wise R&D Spend

Region % of R&D Spend

North America 59%

Europe 34%

APAC 7%

$24 - 25 Bn

Total R&D Spend ➢ Global R&D spend is highly

consolidated among top 5 R&D

spenders

Medical Devices companies →

Source : DRAUP

Dominant Sub-verticals

Non-imaging diagnostics,

Surgical, and Prosthetics

Dominant Sub-verticals

Imaging and non-imaging diagnostics

Top 10 R&D Spenders

Philips $2.3 – 2.5 Bn

Abbott $2.1 – 2.3 Bn

Medtronic $2.1 – 2.3 Bn

GE Healthcare $1.4 – 1.6 Bn

Siemens

Healthineers$1.3 – 1.5 Bn

Note: Analysis is based on the DRAUP’s proprietary engineering database, updated in Feb 2018

4

Rest of North

America

54%

Rest of Europe

14%

India

6%

76k – 77k

R&D Headcount

China

4%

Germany

8%

UK

3%

Bay Area

8%

Consolidated R&D Talent Footprint: ~90% of the global engineering workforce is consolidated in North America and Europe.

Medical Devices R&D Footprint

• Medical Devices R&D is

consolidated in the United

States and is not very

globalised.

• Medical Devices OEMs

are not leveraging low-cost

talent hotspots like India

and China.

• Most of the hubs are

located in North America,

indicating that the decision

making is still governed

from the US

Hub Spoke AnalysisNorth America Europe APAC

66%

8%

26%

57%

19%

24%

27%

28%

45%

Outpost

Satellite

Hub

Top

Players

(by R&D

presence)

• Medical Devices R&D is

consolidated in the United

States and is not very

globalized

• India and China are the

emerging tech hotspots for

medical device

Companies.

• Most of the hubs are

located in North America,

indicating that the

decision-making is still

governed from the US

Note: Analysis is based on the DRAUP’s proprietary engineering database, updated in Feb 2018 Source : DRAUP

Source : DRAUP

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Digital Transformation of R&D: Medical Devices R&D spend is expected to reach ~$32 BN inthe next 5 years, largely driven by investments in digital-centric use cases.

*Analysis of top 32 R&D spenders

G500 Medical Devices R&D Spend (In USD Bn)

$21 -22 $23 -24

$24 -25

$31 -32

2015 2016 2017 2022E

Key Digital Transformation Themes

Preventive Care

• Enhanced focus on preventive care has warranted

use of predictive analytics

• AI, Cyber Security, Bigdata, IoT and combination

products will drive spending on devices

Point-Of-Care (POCT) Testing

• Focus on affordable pricing, faster detection, and

reduction in hospital stays are key factors driving

consumer device adoption

• Target to reduce the amount of manual labor involved

in diagnosing disorders and move from lab to clinic

model driving the market for devices

Real-time Monitoring

• Increased usage of devices for continuous monitoring

and digital therapeutics have led to higher demand

levels of wearables

• Predictive care to manage chronically ill patients and

reduce overall visits


Tech Giants• Google, Microsoft and IBM are capitalizing on their native

capability in new technologies and are disrupting

conventional business models.

• Google has acquired a start-up called “DeepMind,”

focusing on fast analysis and diagnosis of imaging scans.

Cross-Vertical Applications- Telecom and

Aerospace• Remote Medical Center, Teleconsultation and

Teleradiology are gaining investments from Telecom

players that will help them expand their service portfolio

• Studies on focused sonography have been performed to

meet the diagnostic challenges of space medicine and to

discover potential applications of point-of-care

ultrasound for the aeromedical clinician

Startups

• Start-ups are targeting Artificial Intelligence and

Analytics to enhance the patient experience, increase

efficiency of devices, and improve clinical workflow.

• Crospon is developing edge minimally invasive

medical devices for imaging and aiding surgery in the

esophagus and stomach.

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Expanding R&D Talent Footprint: Over the past 3 years, OEMs have started expandingR&D globally, especially setting up centers in India and the Bay Area.

Global Medical R&D Center Distribution and Growth

6.4 – 6.5k

39 – 40k

19 – 20k

4.3 – 4.4k 3.4 – 3.5k

CAGR: 3.4%

CAGR: 3.5%

CAGR:20%CAGR: 3%

• Bangalore and NCR are two

major hotspots in India for

MD investment.

• Suzhou and Shanghai are

two major hotspots in China.

• Fresenius, Medtronic,

and Thermo Fischer

have opened multiple

R&D centers in China

since 2009.

• GICs in India are getting

empowered and engaging

in strategic partnerships

with Service Providers.

• Tech Giants are building

software-centric solutions

out of Bay Area and have

developed a rich Medical

Device ecosystem.

• Thermo fischer and GE

Healthcare have opened

software COEs in Bay

Area.

• UK has seen a rise in the

Medical Device talent in

the last 3 years.

2017

2013

CAGR: 8%

Bay Area Rest of USA Europe India China


Source : DRAUP

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Medical Device R&D Talent Taxonomy: DRAUP conducted a comprehensive analysis of ~40,000 profiles to understand the job role clusters

Computational Chemist, Machine Learning Application Specialist

SQA Engineer, Machine Learning

Deep Learning Research Scientist

NLP Architect

Business Intelligence Analyst/ Data Engineer

Biostatistician- Oncology

Data Analytics Specialist

Imaging Analytics Architect

IT Data Privacy & Cybersecurity leader

MR / CT Image Reconstruction Engineer

PSD Applications Development Engineer

Advanced Imaging & Clinical Applications Engineer

Manufacturing Quality Investigator

X-ray Image Quality Assurance Specialist

Mechanical Engineer, R&D

Product Design Engineer

Signal & Image Processing Engineer/ Optical Systems Engineer

Embedded Software/Firmware Engineer

Electromagnetic Engineer / Imaging Field Engineer

PACS Engineer/ Modality Engineer

Non Clinical Talents

Clinical Talents

Mechanical Embedded Software Analytics Machine Learning

Prosthetics Technologist

Prosthetics Consultant

Dentist- Implants/Prosthetics

Prosthetics Design Engineer

Senior Rhythm Specialist

Monitor & Evaluation Officer

Clinical Trial analyst

Cardiac Monitor Technologist

Surgical Recovery Specialist

Orthopaedic Surgical Coordinator

Surgical Specialist

Senior Consultant Radiologist

In Vitro & Imaging Diagnostic Specialist

Diagnostic Imaging Physicist

Digital Imaging Specialist

Cardiac Diagnostic and Monitoring Representative

Diagnostic Medical Sonographer

Digital & Diagnostic Specialist

Arrhythmia Diagnostic SpecialistSterilization & Release

Specialist

Source : DRAUP

8

8

12KSoftware

Engineering job openings

Across 32 OEMs during 2017

20Digital CoEs

set up by OEMs in the last

3 years

~11%Expected CAGR (2017-2022) growth

in software sub-segment

64% 19% 17%

33% 33% 33%

60% 20% 20%

40% 27% 33%

64% 19% 17%

Digital (Software/Analytics/ML) Clinical (Non-Engineering)Traditional (Mech/Embedded)

R&D Headcount Split by SkillsOEMS Key Digital CoEs

• San Francisco Bay Area• Milwaukee, US• Bangalore, India

• San Francisco Bay Area• Amsterdam, Netherlands• Bangalore, India

• Minneapolis, US• Los Angeles, US• Hyderabad, India

• Minneapolis, US• San Francisco Bay area• Boston, US

• San Francisco Bay area• Indianapolis, US

R&D spend of medical devices companies: Bay Area and Bangalore are emerging as prime hotspots for Digital CoEs of medical device companies

Source : DRAUP

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9

GE Healthcare: Organization R&D structure and workforce distribution

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

~7,000

R&D Headcount Traditional (Mech/ Emb.) Digital (S/W, Analytics and ML) Clinical (Non-Engineering)

Key Centres & Workloads

Development of imaging for radiology,

fluoroscopy, interventional cardiology,

angiography, electrophysiology and

mammography

Development of patient monitors, Positron

Emission Tomography systems

Greater Milwaukee area

~4,500 ~1300 ~1200

Development of GE health cloud

San Francisco Bay Area

Greater Boston Area

R&D talent employed by

GE Healthcare across

42 centres globally Life sciences solutions such as Cancer

diagnostic and molecular imaging methods

for biopharmaceuticals cancer research

Greater New York City Area

Greater Chicago Area

Development of PACS, Cardiovascular

Information System (CVIS), Radiology

Information System (RIS), , cloud imaging,

Advanced Visualization (AW), Perinatal,

Perioperative and digital pathology solutions

Burlington, Vermont Area

Development of next-gen imaging application

in emerging web technologies such as

HTML5, CSS3, AngularJS, jQuery and

associated testing products such as Jasmine

France

High-quality imaging and hybrid workspace

operating room

BengaluruDevelopment of CT, MR, molecular

imaging, ultrasound, x-ray and patient

monitoring products and services

Development of Perinatal products, High

Acuity care products and radiology imaging

productsBengaluru

Digital Radiography, Women's Health &

Interventional Radiology

Baltimore, Maryland Area

Florence, South Carolina Area

Phoenix, Arizona Area

Madison, Wisconsin Area Germany

Research and development of Bioprocess

business

United KingdomResearch on Genomics and Cellular;

Develop the newest generation of medical

diagnostic products and contrast media

SwedenDevelopment of chromatography media

Norway

Microbiological methods for use in

production line of injectable drug productsChina

Development of CT and X-RAY detector,

Value Mammography product

Greater Salt Lake City Area

Greater Seattle Area

HungaryIsrael

Source : DRAUP

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10

Philips: Organization R&D structure and workforce distribution


~7,500



~2,500 ~2,500 ~2,500

Development and testing of PACS (Picture

Archiving Communication Systems)

Development of architecture to build the

cloud based Philips HealthSuite Digital

Platform

San Francisco Bay AreaR&D talent employed by

Philips across 32

centres globally Development of interventional oncology business line with

products such as UroNav (an image-guided stereotactic

biopsy system)


Development of image-analysis algorithms &

system design for ultrasound

Design of the interface between the ultrasound

imaging system and transducer

Design and development of multi-tier objected-

oriented components & functionality for a global,

large-scale secure critical care clinical

information system

Greater Boston Area

Design of clinically viable wearable medical

devices for remote patient monitoring (Ex-

Telemetry medical devices)

Design therapy delivery subsection for Philips

ALS (amyotrophic lateral sclerosis) defibrillators

Greater Boston Area

Define, design and build innovative clinical MRI (magnetic

resonance imaging) solutions

Research on clinical risk algorithms and clinical decision

support systems

Research in unobtrusive neonatal monitoring &

accelerometry for vital sign monitoring

Development of the clinical roadmap with respect to fMRI

(Functional MRI) and neurosciences

Netherlands

Development of workflow software for Computer

Tomography (CT) imaging application

Concept design, development and

industrialization of Microdose, an advanced

mammography solution

R&D of image processing and analysis algorithms

for radiation therapy treatment

BengaluruAdvanced development of technology solutions to expand

CT (computed tomography) spectral imaging capability

Long term research in virtual colonoscopy and virtual

catheterization applications

Israel

Development of new for home healthcare in field

of respiratory care, sleep care & COPD (chronic

obstructive pulmonary disease)

Project lifecycle management of new mask

development and optimization of existing masks

Greater Pittsburgh Area

Design, development and industrialization of

Intuis, an entry level interventional X-ray system

New product development & lifecycle

management of cardiovascular cathlab products

Design & development of mechanical sub-

assemblies for surgery C-Arms

Pune

Greater Seattle Area

Greater San Diego Area

Germany

Brazil

Cleveland

United Kingdom

France

China

Source : DRAUP

11

11

Medtronic: Organization R&D structure and workforce distribution


~7,500



~4,500 ~1,500 ~1,500R&D talent employed by

Medtronic across 41

centres globally Firmware development and mechanical design of

Medtronic Neuromodulation Patient Care Devices

Mechanical designs for Cardiac Rhythm and Heart

Failure (CRHF) business units, inclusive of

Implantable Cardio Defibrillators (ICDs) and

Implantable Pulse Generators (IPGs)

Analog IC design and development for Medtronic

CRHF products

Greater Minneapolis Area

R&D on Aortic and Peripheral devices

R&D on Spine and Oncology procedures, radiofrequency (RF)

ablation of metastatic malignant lesions in the vertebral body,

spine pain management and interventional oncology, RF bipolar

ablation probes, bone biopsy & efficient Pedicle/Cortical Wall

access systems

Bay Area

Development of advanced mechatronics products

and systems for Minimally Invasive Surgery with a

focus is on embedded software for the MIS

platform’s robotic subsystem

Greater Boston Area

Greater New York Area

Jacksonville

Greater St. Louis Area

Greater Memphis Area

Software development and design in Respiratory

and Monitoring Solutions, Ventilators division

Greater San Diego Area

Design and development of ventilator software with

C++ and C# on WinCE and ThreadX, QT on Linux

China

Research and Development of a catheter delivery system for

coronary stents

Ireland

Research and Development on hernia repair medical devices and

anti-microbial surgical implant

Research and Development in a critical medical equipment sector

- Respiratory Unit

France

Concept Design, Analysis, Software development

for Early Technologies, Patient Monitoring and

Recovery

Advanced Development, algorithm development,

and new technology research for the Medtronic

Navigation business

Greater Denver Area

Design and development of mechanical surgical

devices in the areas of Thoracic Surgery, Hernia

Repair, Minimally Invasive Surgery

India

Greater Memphis Area

Israel

Denmark

Development of Microstream capnography

modules, in conjunction with specialized algorithms,

as well as CO2 breath sampling lines

Source : DRAUP

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12

Abbott: Organization R&D structure and workforce distribution


~3,000



~1,200 ~8,00 ~1,000R&D talent employed by

Abbott across 16

centres globally Development of mechanical circulatory systems,

i.e., blood and implantable heart pump

Development of mechanical circulatory support

devices for Left Ventricular Assist Device

Development of embedded firmware and related

applications to support new product development

for blood glucose monitoring systems


Development of software for implantable

ventricular assist devices

Greater Boston Area

Development of leading LIS (Laboratory

Information System) product

Development of STARLIMS V10.5 using

technologies such as JavaScript, .Net in the client

side and SSL (STARLIMS Scripting Language) for

the server side.

Israel

Development of image guided therapy platforms

and technologies

Development and testing for surgical and

transcatheter valve testing

Technology development in the area of

transcatheter & surgical heart valves and vascular

closure

Greater Minneapolis – St. Paul Area

Greater Chicago Area

Development of specifications to release materials

(reagents, controls and calibrators)

Research, development and technical product

support with particular emphasis on infectious

disease diagnostics

Texas Area

Product development of class III medical devices

for neuromodulation therapy: spinal cord

stimulation, deep brain stimulation, and dorsal root

ganglion stimulation

United Kingdom

Clinical research associated with Abbott’s Diabetes care

productsGermany

Research and manufacturing site for Abbott Vascular

Instruments, molecular diagnostics and informatics

implementations

Products developed and produced include balloon

dilatation catheters and stent systems

China

Scientists conduct research and develop products for

diagnosing and managing major cardiovascular, endocrine

and metabolic diseases

Innovation and acceleration associated with the discovery of

new diagnostic tools using a multi-disciplinary, collaborative

approach

Testing methods to identify, measure and mitigate

MRI induced mechanical hazards including

considerations for static force, torque and gradient

vibration

Greater Los Angeles Area

Source : DRAUP

13

13

Roche: Organization R&D structure and workforce distribution


~4,500



~2,500 ~500 ~1,500R&D talent employed by

Roche across 11

centres globally

Tucson

Core research that encompass chemistry, multiplexing,

molecular and advanced systems

Research and development of key initiatives with a focus

on product development including lean workflow solutions,

*IHC assay development, *ISH assay development and

detection system (reagent) development.

Indianapolis

Focus on global information management

systems within the Diabetes Care space

Research and development of software systems

like Accu-Chek 360 and handheld glucose

measurement systems such as Accu-Chek Aviva

and Accu-Chek for the management of diabetes

Madison

Researching and manufacturing target enrichment probe

pools for *DNA sequencing

Next generation sequencing combined with sequence

capture probe pools

Researching genomic structure to understand the impact of

genes on biological processes

Switzerland

Center of expertise in modern instrument design

Development, production and servicing of

instruments and software systems that are used

in in vitro diagnostics

Bay Area

Develop a single-molecule, semiconductor based,

*DNA sequencing platform using nanopore

technology

Develop and deliver testing services to perform

directed analysis of cell free *DNA in blood

South Africa

Develops life science reagents for DNA and RNA

amplification, sequencing and molecular diagnostics

Germany

Research and development of in vitro diagnostics products

Development of compounds for Roche lab analyser

platforms

Bay Area

Lab automation, workflow, and LIMS software for

the NIPT CLIA Lab in San Jose.

Develop, deploy and manage software and

bioinformatics services on the cloud.

Software development, integration and testing for

In-Vitro Diagnostics (IVD) medium throughput

solution for qualitative & quantitative detection of

molecular targets

Source : DRAUP

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Emerging Medical device companies Dashboard: Ophthalmology, Cardiology, Wearables and Robotics based solutions are key focus areas

Imaging Non-imaging Monitoring Prosthetics Other Therapeutics Surgical

Note: Analysis is based on the DRAUP’s vendor ecosystem module, updated in July, 2018

MRS technology to measure brain metabolites

MR

I A

DV

AN

CEM

ENTS

Treat inoperable and hard-to-reach brain lesions using MRI

OP

HTH

ALM

OLO

GY

Provide clinicians a treatment based decision algorithm

Ophthalmic diagnostic equipment & eye surgical

instruments.

3D

MO

DEL

Analysis of blockages using 3D model of Coronary arteries

DR

UG

DEL

IVER

Y

Patch pump for subcutaneous delivery of one or more medications

Solving the challenge of self-administering biological medicines

DIA

LYSI

S

Tablo-Hemodialysis System, a dialysis machine that can be

used in home or clinic

UltraStream™ Dialysis Catheters

OP

HTH

ALM

OLO

GY

Ophthalmic biopharmaceutical company treating glaucoma and

other eye diseases

RO

BO

TIC

S Developed highly intuitive surgical system called Da Vinci.

Identifies potentials in minimally invasive surgery using Robotics

SUR

GIC

AL

GEL

S

Gels and Bandages for surgical wound treatments that enable

quick blood arrest

CA

RPA

L SU

RG

ERY

Treat carpal tunnel syndrome in a novel fashion, termed Micro-invasive Carpal Tunnel Release

PO

INT

-OF-

CA

RE

Develop novel sensing technologies for use in

hospital point of care devices

Revolutionizing doctor-patient interaction and

enhancing care coordination

WEA

RA

BLE

S

Developed LOOP a wearable that communicates vitals to

clinicians

Wearable that records vitals like heart rate, ECG, Skin

temperature etc.

CA

RD

IOLO

GY

Developed the world’s largest cardiac data network

WEA

RA

BLE

S

Wearable sensory prosthesis for patients suffering from balance problems due to peripheral neuropathy

HO

LOG

RA

PH

Y

Developed a proprietary laser-based high-resolution

holographic printing technology.

CA

RD

IOLO

GY

Developing a novel minimally invasive solution for the treatment of mitral

regurgitation (MR)

NA

NO

TEC

HN

OLO

GY

Battery powered modular platform to conduct cost-effective diagnostic tests

GEN

OM

ICS

Genome sequencing & machine learning to

modernize infectious disease diagnosis

RO

BO

TIC

S

Introduced Robot-assisted VEM therapy

Source : DRAUP

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AGENDA

➢ Analysis of Top medical devices

hotspots in US and workload involved

➢ Deep-dive Analysis of major US

hotspots by major companies and

their talent headcount in the region

▪ Bay Area

▪ Chicago

▪ Minneapolis

Source : DRAUP

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16

62% 17% 21%

Medical device Hotspots in US: Increase in the number of digital use cases has led to the emergence of newer digital hotspots in the US and this has created significant talent challenge

WEST COAST

BAY AREA

PHOENIX

EAST COAST

BOSTON

Hotbeds 2018

Emerging Hotbeds

NEW YORK

RALEIGH

ATLANTA

MINNEAPOLIS CHICAGO

11K+Monitoring, Cloud Analytics, Genomics, Robotics, Automation

500+ Vascular, Pacemakers, Clinical Diagnostics

GREATER SALT LAKE CITY

2.2K+ Imaging applications, Molecular Biology, Neurovascular

TEXAS (Austin, Dallas & San Antonio)

1.7K+Ophthalmology, Surgical, Neuromodulation, Lenses 800+ Surgical Robotics, Oncology,

Ultrasound, Respiratory Devices

700+System Development, Oncology, Microbiology, Imaging systems

3.4K+Gen-sequencing, Diabetes, Surgical, Trauma and Extremities

9K+ Pump Platforms, Mobile CT scanner, Urology, Endoscopy

5K+Ultrasound, Oncology, Telehealth, Care Delivery

4.7K+Cardiovascular, Navigation, Patient Monitoring.

44k – 45k

US R&D Headcount

46% 39% 15%Traditional

(Mech/Embedded)

Digital ClinicalTraditional

(Mech/Embedded) Digital Clinical

Source : DRAUP

17

17

~30% of the Medical Devices R&D

talent in Bay Area is working in

Software verticals

300 - 400

700 - 800

500 - 600

300 - 400

Top 5 Medical Devices OEMs

building software solutions in Bay Area

Medical Devices OEMs in Bay Area

Note: Analysis is based on the DRAUP’s proprietary engineering database, updated in Feb 2018Source : DRAUP

200 - 300

Future Focus SegmentsCurrent OEM Focus

Punit SuriVP Smart Lab

& Digital ScienceThermoFisher Scientific

Brian StewartSenior Director

Digital EngineeringThermoFisher Scientific

Technology Leaders

MarchetteBrumsey

DirectorIT EPMO

Medtronic

Eran RubensChief Technology Officer

Enterprise ImagingPhilips Healthcare

Non-imaging Diagnostic Non-imaging Diagnostic

Acquisitions

Emerging Focus AreaSoftware-enabled Solutions/Workloads

Cloud Platform for connected health

Automation of Liquid Chromatography

Data Analytics in Non-imaging Diagnostics

Data Interoperability between devices

PCR Cloud Application

Lab Automation

Cloud Bioinformatics solutions

Minimally Invasive

devicesImaging

Medical Device

Next generation sequencing

Artificial Pancreas

Genomics

Stem cells

Regenerative medicine

Personalized medicine

Bay Area, USA: Medical device giants are setting up software centres in Bay Area in West coast to exploit the strong STEM talent and develop digital use cases. Competition for this talent is with Technology giants

Source : DRAUP

18

18Note: Analysis is based on the DRAUP’s proprietary engineering database, updated in Feb 2018

Source : DRAUP

Chicago, USA: Robotics, Cloud imaging and Digital pathology solutions are key digital focus areas of medical device giants in Chicago

~50%of the Medical Devices R&D

talent in Chicago Area is involved in

development of Renal therapeutic

devices

500 - 600

250 - 300

900 - 1000

100-150


in Chicago

Medical Devices OEMs in

Chicago

400 - 450


Technology Leaders

Ying-Cheng LoVP, Global Technology and R&D Innovation,

Baxter

George DaileyDirector, Hardware

EngineeringSiemens Healthineers

Acquisitions

Emerging Focus AreaProduct / System Development Workloads

• Design, development, implementation, and analysis of

medical products under Renal Home Therapy and

Peritoneal Dialysis (PD) devices

• Development of laparoscopic surgical instrument product

line

• Product Development of platelet and red blood cell

apheresis collection systems

• Development of Sterile Injectables and cellular therapies

• Development frameworks for controlling a wide

variety of laboratory instruments, including liquid

handling robots, plate storage robots, fluorescence

plate readers, radiometric plate and vial readers.

• Cloud imaging, Advanced Visualization (AW), CVIT,

Perinatal, Perioperative and Digital Pathology

Solutions

Source : DRAUP

19


Source : DRAUP

Minneapolis, USA: Giants of Minnesota like Medtronic and Boston Scientific are using mechanical capabilities to build cardiovascular devices and surgical tools

~70%of the Medical Devices R&D

talent in Minneapolis Area is involved in

Development of surgical tools and

devices for cardiovascular.

1500-1600

400 - 450

2000 - 2200

30-50


in Minnesota

Medical Devices OEMs in

Minneapolis

100 - 150


Technology Leaders

Mike HessVP, MCS Business at

Medtronic

Randy SchiestlVice President R&D

Boston Scientific

Acquisitions


• Development of a product pipeline for a broad portfolio of

endovascular products inclusive of PTA, SFA stenting

systems

• Development of MRI conditional implantable pacemaker

• Development of new Guide and Diagnostic Catheter

products, Cardiology balloon and intravascular filter

products.

• Fabricate & test medical device prototypes of implantable

,surgical tools and machinery

• Development of home health telemonitoring software

for mobiles

• Data Management, Cloud Computing. Firmware

development and Mechanical Design of

Neuromodulation Patient Care Devices

Vicenta HoffmanSr. Director, Global

Sourcing and Supply Chain, St. Jude Medical

Source : DRAUP

20

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AGENDA

➢ Healthcare ecosystem in Boston and

the top medical device companies in

the region

➢ Analysis of Peer companies R&D

initiatives and headcount

➢ Major collaborations and initiatives of

Tech giants in Boston

➢ Major startups and university

initiatives

Source : DRAUP

21


Source : DRAUP

Boston, USA: Medical device giants have accelerated capabilities focussed on Product and Systems Development in Boston Area in East Coast. Driven by fundamental research, this geography needs

~50% of the Medical Devices R&D

talent in Boston Area is working in

Product and System Development

550 - 600

450 - 500

600 - 650

150 - 200


in Boston

Medical Devices OEMs in Boston

250 - 300


Jim LaDineVP R&D, Chemical Analysis Division

ThermoFisher Scientific

Technology Leaders

Tom NeufelderSVP, Innovation Leader

- Diagnostic ImagingPhilips Healthcare

Kurt GeitzVice President R&D

Boston Scientific

Acquisitions


• Development of advanced mechatronics products and

systems for Minimally Invasive Surgery

• Development of Mobile CT scanner product for navigated

spinal and cranial surgery

• Research and development of Pump Platforms

(Mechanical Circulatory Support)

• Development of novel LVAD attachment devices

• Research and development on Rhythmia mapping and

navigation system

• Development of ultrasound transducers for diagnostic

imaging.

• Research & Development in Mass Spectrometry,

Microbiology, Chemical Analysis, Chromatography

& Analytical Technologies

• Research and development of Bioprocess

Disposable Bioreactor

• Development of custom hardware designs

• Design & Development of Wearable Sensing

Solutions

Kevin BourqueVice President R&D

Abbott

Source : DRAUP

22

22

Focus segments and use-cases of key players across the Digital healthcare stack

Robotic

Surgical

Devices

Imaging

Solutions

Remote

Monitoring

Drug

Discovery

Data

Collection

& Analysis

Data

Transformation

Predictive

Analytics

Cell & Gene

Therapy

Cancer

DiagnosticsNeurology

Diabetes

care

Rebuilding traditional Segments Accelerating Chronic Diseases CareOff the shelf Platform Partners

Devices

OEMs

Tech Giants

Start-ups

Universities/

Innovation

Lab

Boston: Healthcare use-cases and focus segments across Ecosystem players

Pharma

Giants

Source: Draup identified 11 key areas categorised under 3 broader segments based on recent research, investment and collaboration activities by top Healthcare companies in Boston.

The above analysis is based on the DRAUP’s proprietary engineering database and insights from industry stakeholders, updated as on Jul, 2018;

Healthcare

Ecosystem

Source : DRAUP

23

23

Scaled R&D footprint in Boston in traditional healthcare capabilities

1700

1500

1100

850

735

630

620

610

490

465

450

450

440

430

390

380

330

325

300

300

Footprint of top Medical Devices and Pharma Giants in Boston ( R&D headcount )

➢ Biogen focuses on Neurology, Early

Clinical Development, Clinical Data

Management, Haematology, Cell & Gene

Therapy

➢ Boston Scientific R&D centre focuses

on Urology and Pelvic Health,

Endoscopy, Electrophysiology. Other

focus areas include Bioinformatics,

Neurodegeneration, Neurology

Discovery and Development

➢ Pfizer R&D platform includes

Biosimilars, Gene Therapy, Precision

Medicine, and focuses on Diseases &

Conditions, Rare Disease Treatment.

➢ Sanofi Genzyme focuses on developing

specialty treatments for debilitating

diseases that are often difficult to

diagnose and treat. It also focuses on AI

for therapeutic solutions

➢ Medtronic focuses on Surgical

Technologies, Navigation, Patient

Monitoring & Recovery.

Healthcare R&D

headcount

~12,500Engineers

DRAUP analyzed top 70 global healthcare companies for their research and investment focus areas.

DRAUP’s proprietary talent module was used to analyse Healthcare Engineering Talent numbers.Note: Source : DRAUP

Sanofi

Pfizer

Biogen

Shire

Novartis

Boston Scientific

Vertex Pharmaceuticals

Royal Philips NV

Merck

Medtronic

Perkin Elmer

Thermo Fisher Scientific

Bristol-Myers Squibb

Takeda

Waters Corporation

Amgen

Charles River Laboratories

AstraZeneca

DraegerWerk

Siemens

Devices &

Pharma

giants

Source : DRAUP

24

24

“Niche segments where AI is seeing major impact

are Neuroscience (to prevent Alzheimer),

Neurodegenerative diseases, Psychiatry and

Oncology”

Emerging focus on Chronic Disease Care, Remote Monitoring and Genomics

Key Players

~2,000 S/W Engineering R&D talent employed by Medical OEMs and Pharma Giants


~300Neurology Early Clinical Development, Clinical Data Management, Haematology, Cell & Gene

Therapy

~200 Ventricular Assist Devices (VADs), Orthopaedics, Surgeon User Interfaces, Patient Monitoring,

Surgical Technologies, Navigation, Recovery, Surgical Solutions

~130 Neuroscience, Molecular Structure and Characterization, Human Genetics and Functional

Genomics, Cytometry Sciences

Clinical Analysis, Element Analysis

~100 Point-of-Care Solutions, Remote monitoring

~100

~200Bioinformatics, Neurodegeneration, Neurology Discovery and Development, Urology and Pelvic Health, Endoscopy, Electrophysiology

~200 Neurology and Therapeutics

S/W HeadcountAI & Advanced Analytics

Use cases

Devices &

Pharma

giants

Rhoda AuDirector of Neuropsychology, Framingham Heart Study

Source : DRAUP

25

25

Limited leadership vision and lack of defined organization structure is restraining software and digital talent capabilities growth

“More than data science talent gap, there is major gap in leadership vision and organization structure to absorb data science

talent in their traditional setting.“

Key Engineering skills

SoftwareEmbeddedMechanical

Process Development

Engineer

Bio-medical Engineer

Sensors

Design Engineer

Technology Architect

Systems Specialist

Database engineerManufacturing Engineer

Mechanical Design

Engineer

Hardware Engineer

Statisticians and Data

Scientists

Cyber Security Analyst

R&D team size (Decreasing team size intensity)

“There is lack of knowledge for the kind of work which a data science or ML engineer would do in a healthcare company in

Boston.”

“Additionally, workforce with a data science background is in high demand in Boston. Even if we double the current PhD graduates in

data science it will not full-fill the requirement.”

Gap in leadership vision

Lack of technical knowhow in agile technologies

Limited availability of S/W skills

Challenges in hiring S/W talent

Devices &

Pharma

giants

“Medical devices company are mechanical talent heavy and outsource most of the software development work.”

David UreCEO & President, Inanovate

Dr. Steven MunevarPresident & CEO, Munevar & Associates, Inc.

Source: The above analysis is based on the DRAUP’s proprietary engineering database and insights from industry stakeholders, updated as on Jul, 2018;

Includes domain specific insights collected from primary interviews conducted with several industry leaders.

Source : DRAUP

26

26

EHR ImagingPredictive Analytics

TherapeuticsRemote

MonitoringWearables

Acquisition Investment Partnership Inhouse

Exploring and accelerating digital use-cases for EHR, predictive analytics and Therapeutics

Note: Draup identified 6 major areas of investments, acquisitions, Partnerships and Inhouse research in Healthcare Technology adoption.

The above analysis is based on the DRAUP’s proprietary engineering database and insights from industry stakeholders, updated as on Jul, 2018

Tech Giants

➢ Tech Mafia giants are differentiating

by building in-house capabilities in

AI, Big Data , deep learning and

machine learning

➢ Alphabet, Microsoft and Apple are

developing competencies in EHR,

remote monitoring and connected

cloud technologies through

collaborations with medical giants

and startups

➢ Alphabet has invested in multiple

therapeutics startups such as

Spero, and Magenta

➢ Apple is investing aggressively in

Apple’s Health Records feature. It

has partnered with partners

healthcare to enable Hospital staff

patients and vendors to remotely

access healthcare data through its

IOS devices

Source : DRAUP

27

27

Using mature computational capabilities, ML algorithms and off the shelf platforms to mitigate Data Transformation and Analysis challenges

Technology Giants are focused on

Data

Transforma

tion

Remote

Monitoring

Electronic

Health

Records

Cloud

Platforms

Open

source ML

Protocols

Medical

Imaging

Chronic

Disease

Managem

ent

Assistive

Diagnosis

Predictive

Analytics

Tech Giant Focus

AI

ad

op

tio

n M

atu

rity

High

High

Low

Data Transformation

. “The major road block being availability of huge trained data to feed into

machine learning algorithms. Tech giants can play a huge role at this layer of

data transformation.”

- Steven Munevar

Recently launched Cloud Healthcare API services to

address the interoperability issue in healthcare data. Verily focussed on developing data science tools for gene

sequencing

Remote Monitoring

“They are trying to become future pioneers in patient monitoring and

remote device monitoring. They are constantly working on innovating

wearable devices which can easily and efficiently collect patient data.”

- David Ure

Medical Imaging

Major healthcare use

cases being solved by

Tech Giants

IBM Watson Health has partnered with Pfizer to develop

remote monitoring solutions for Parkinson’s disease

They are disrupting the Imaging Machines market by

introducing fast and portable CT and Digital Radiology devices.

Tech Giants

AI Maturity indicates the depth of AI involvement and integration capabilities into the mentioned/identified medical technological areas.

Tech Giants Focus represents the stance in the research, development and adoption of the mentioned/identified healthcare technological area. High Tech Giant Focus indicates large number of

investments, research collaborations, R&D hiring and centre development specific to Greater Boston Area.

Note:

Source : DRAUP

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28

Case Study: Verily and DeepMind are collaborating with Hospital Providers and Domain Experts to develop diagonostics solutions for Diabetes and Heart Disease

Google Health Tech Strategy

Sub-verticalDisruption

Intensity

Eye Disease

Diabetes

Heart Disease

Parkinson’s

Disease

Multiple

Sclerosis

400+ employees

Andrew Conrad

CEO, Verily

✓ Verily Partner Space

Hub for medical devices technology start-ups.

✓ Partnership with Johnson & Johnson

To develop Digital Surgery Prototypes.

✓ Invested $65Mn in Freenome

Bay Area-based biotech start-up working on

diagnosis of cancer.

500+ employees

Demis Hassabis

CEO, DeepMind

✓ Partnership with NHS eye hospital

To conduct AI research for eye diseases

diagnostics.

✓ Partnership with University College London

Use AI for cancer diagnosis and treatment.

✓ Google and US Department of Veteran Affairs

To study patient deterioration during hospital

care with a focus on Acute Kidney Injury.

Google has two major subsidiaries in healthcare sector. Disruption Intensity

Low High

Source : DRAUPNote: Several factors were taken into account while analysing the Disruption Intensity such as AI maturity, Investments & Acquisitions, Partnerships and R&D headcount employed.

Tech Giants

Source : DRAUP

29

29

OEMs are partnering with Tech giants to build digital healthcare solutions and collaborating with Hospitals & pharma giants to acquire core expertise

Tech Giants Pharmaceuticals Hospitals / Research Institutions

Partnership focused on

developing remote

monitoring solutions like

Telemonitoring for their

patients.

With Boston Children’s

Hospital, GE Healthcare

is developing digital tools

to help radiologists of

varying expertise interpret

brain MRI scans

Partnering with Tech Giants to

leverage Off-the shelf platforms

Collaborating with pharmacies and Hospitals to innovate

traditional segments

Medical OEMs are leveraging cross-industry partnerships to acquire digital capabilities

Medtronic will use IBM’s

cognitive computing

capabilities to develop

new diabetes diagnostics

solutions

Medtronic and Samsung

Co-developed “MiniMed

Connect” app to

measure, track and share

critical diabetes data

such as glucose levels

Collaboration to develop

epigenetic modulators

that can treat neurological

disorders such as

Alzheimer’s

Collaborations

The collaboration aims to

develop a new handheld

blood test tool to improve

the care of patients with

neuropsychiatric

disorders.


Includes current leadership announcement, partnership and R&D initiatives from Boston based companies updated as of Jul, 2018

Source : DRAUP

30

30

Top pharmaceuticals are acquiring ML capabilities through open innovation labs in collaboration with tech giants and startups

Pharmaceutical companies are partnering to acquire AI capabilitiesInnovation labs by pharmaceutical companies

Top pharmaceutical companies have established

innovation labs to tap into innovative healthcare

technologies

Bayer Innovation Centre:

Focus on developing partnerships in the field

of cancer treatment, cardio vascular diseases

and ophthalmic therapies

CVS Innovation Lab

Focus on developing smart device-driven apps

and devices to improve health care.

Focus on tapping early-stage opportunities

across businesses, academia and J&J family of

companies

Johnsons & Johnson Innovation

Centre:

Key focus areas

Mobile Coaching Cancer Therapy Drug discovery

Advise patients and

improve patient

outcomes using real-

time data collection

Analyze patient data to

identify personalized

treatment options using

a cloud-based system

Identify drug molecules

for treatment after

analyzing clinical data

J&J has collaborated with

Watson to enhance its

virtual patient coaching

platform – Patient Athlete

Program platform for

coaching individuals

undergoing replacement

and spine surgeries

Roche will use GNS

Healthcare’s machine

learning platform to to

identify novel targets for

cancer therapy

AstraZeneca and Berg

have partnered to on find

and evaluate medicines

for treating Parkinson’s

disease and other

neurological disorders


Includes current leadership announcement, partnership and R&D initiatives from Boston based companies updated as of Jul, 2018

Collaborations

Source : DRAUP

31

31

Boston is home to internationally reputed Universities with mature Computer Science and Health Science Programs

30+ Universitieswith relevant Computer &

Health Science Programs

~50,000 fresh university

Graduates annually

Key Health

Sciences Areas of

Study

Key AI/Data

Science Areas of

Study

Harvard UniversityBoston University

7 Global Top 100

UniversitiesUndergraduate

Graduate

Undergraduate

Graduate

• Biomedical Engineering

• Biochemistry and Molecular

Biology

• Health Science

• Public Health

• Neuroscience

• Behavioural Biology

• Cell Biology & Genetics

• Computational Biology and

Bioinformatics

• Biomedical Imaging

• Biorobotics

• Genomics and Proteomics

• Biostatistics

• Microbiology

• Public Health & Medicine

• Health Data Science

• Advanced Scientific

Computing

• Information Management

• Health Informatics & Analytics

• Human-Computer Interaction

• Machine Communication

• Computer Science

• Applied Mathematics

• Data Science

• Applied Statistics

• Machine Learning

• Computational Design of

Materials

• Data Systems

~6,000Health Science

Graduates

~4,000Computer Science

Graduates

Note : Reference - National Centre for Educational Statistics. DRAUP’s Talent Module analysed 50+ Boston-based universities to identify top universities key courses and partnerships in software engineering, AI, Data Science and Healthcare Technologies.

Universities

Source : DRAUP

32

32Source: Zinnov GEIP

Harvard University

Boston University

MIT

Collaborations/ CoEs

Neurogenerative Disorders

Cancer DiagnosticsResearch is being done on developing

non-invasive cancer diagnostics

methods. A student has recently

developed a method to be able to

diagnose cancer from just one drop of

blood

Boston University has an entire

Center dedicated to research on

Parkinson’s and other movement

related disorders

Focussed research labs with tech giants and OEMs for niche chronic diseases

such as Neuroscience and Oncology

Launched a five-year $50 Mn research project to delve into

cancer drug resistance.Harvard

MIT

IBM invested $240 Mn to setup

an AI innovation lab to

enable large scale data access to

niche prototypes

Biomedical

InformaticsGenetics

Infectious

DiseasesNeuroscience

Drug Delivery Imaging

Janssen Research & Development

Invested more than $10m in BU

professor Dr Avrum Spira’s research

into biomarkers for the early

detection of COPD and lung cancer

Cancer ResearchKoch institute for integrative cancer

research at MIT works on nanotechnology-

based cancer therapeutics, devices for

cancer detection and monitoring,

personalized medicine

Universities

Emerging Research Segments

Computational

Genomics

Neuromorphics

Robot-Assisted

Surgery

. ” Strong university collaboration of IBM, Google, Intel helping their early stage

projects to pivot through licencing, acquisition and enterprise use-cases.”

Note : DRAUP’s Talent Module analysed 50+ Boston-based universities to identify top universities, key courses and partnerships in software engineering, AI, Data Science and Healthcare Technologies.

Misha HerscuFounder and CEO at EnvoyAI

Source : DRAUP

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33

Massachusetts Institute of

Technology

Tech Collaboration & CoEs:

Top Awards and Rankings:1. Ranked the best university in

the world for Computer Science Fields

2. Ranked 2nd among the universities with highest Turing Award winning affiliates. The number of wins are 25, since 1966.

Marquee AI Personality:1. Rodney Brooks, Director of

MIT CSAIL, Founder of iRobot and Rethink Robotics.

Key Start-Ups Born Key Programme Offered

Tech

Collaboration

& COEs

Major PhD & Professors profiles

Entry Level• Minds and Machines

• Machine Learning• Principles of Autonomy and Decision Making

Intermediate

• Machine Vision• Techniques in Artificial Intelligence• Biomedical Computing• Biomedical Signal and Image Processing

Mature• Computational Functional Genomics• Cognitive Robotics• Medical Artificial Intelligence• Relational Machines• Medical Decision Support

MIT : Collaborated with Tech and healthcare companies such as IBM and Bayer to accelerate research in areas of Medical Imaging, Diagnosis and Drug Discovery & Synthesis

MIT and IBM collaborated on launching a 10 year $240 million dollar deal to develop a healthcare focussed AI lab. Cancer diagnosis is a particular target.

MIT partnered with Chinese AI firm SenseTime to advance research into healthcare, imaging with focus on brain and cognitive science.

MIT, through its Machine Learning for Pharmaceutical Discovery & Synthesis Consortium, has partnered with several pharma companies such as Amgen, Bayer, BASF, Novartis, Lilly, Pfizeretc.

PROFILE 1DESIGNATION: Professor, Computer Science & Electrical Engineering

Education: B.A in English, MS in Applied Mathematics, Ph.Din Computer ScienceNo of publications: 200+

Research Areas: Biomedical and Health Informatics, Predictive Analytics, computational Biology

Current works: Transitioning ML models across Electronic Health Records, Learning Models for Deformable Medical Image, Detecting Pulse from head Motion

PROFILE 2DESIGNATION: Professor, Applied Mathematics

Education: BA in Computer Science, MS in Computer Science , PhD in Computer ScienceNo of publications: 140 (co-authored)

Research Area: artificial intelligence, machine learning, Metagenomics, Genomics Privacy

Current works: Compressive Genomics, Population Genetics, Medical Genomics, Next-Gen Sequencing

Has raised $65M in funding



Universities


Source : DRAUP

34

34

Harvard University

Tech Collaboration & CoEs

Top Rankings and Awards1. Continuously ranked

amongst Top 10 schools in Computer Science.

2. Ranked 4th among the universities with highest Turing Award winning affiliates. The number of wins are 14, since 1966.

Marquee AI Personality:1. Simon Greenman, Co-

founder at Best Practice AI


Tech

Collaboration

& COEs


Entry Level

• Artificial Intelligence• Topics in Theoretical Computer Science:

Biology and Complexity• Systems Programming and Machine

Organisation

Intermediate

• Computational Biostatistics• Big Data Systems• Topics in Machine Learning: Deep Bayesian

Models

Mature

• Research Topics in Human Computer Interaction

• Health Data Science• Computational perception

General Electric’s healthcare division partnered with Harvard’s Teaching hospitals to develop AI products for medicine.

Google Genomics has partnered with Harvard’s Broad Institute build new tools and develop insights by combining expertise in bioinformatics, analytics and computing power.

PROFILE 1DESIGNATION: Professor, Department of Biostatistics

Education: : B.S. in Statistics, Ph.D. in StatisticsNo of publications: 190+

Research Areas: Big Data, Health Policy, Epidemiology, Biostatistics

Current works: Hierarchical models with application of end-of-life care for pancreatic cancer, Analytics for Public Health data, Developing computational models for Health Policy analysis.

PROFILE 2DESIGNATION: Assistant Professor, Electrical and Bioengineering

Education: B.Sc. in Electrical Engineering, M.S. and Ph.D. in Electrical and Computer EngineeringNo of publications: 20+

Research Area: Modeling physical/biological Phenomena and System, Bioinspired Robotics and computing, Artificial Intelligence.

Current works: Computational tools for networks of neurons during anesthesia and sleep, Dynamics for information and behavior spread.

Partner Healthcare,affiliates of Harvard Medical School, partnered with Nuance to accelerate development and deployment of AI apps for diagnostic Imaging.Raised $120K in funding

Raised over $95 million

CuroverseAcquired by Veritas Genetics

Harvard: One of the leading Institutes in AI-Healthcare research programmes

Raised over $14 million with over $10M from Baidu

Universities


Source : DRAUP

35

35

Boston University

Tech/Pharma Collaboration & CoEs:

Top Awards and Rankings:1. Boston University’s Biomedical

Engineering graduate and undergraduate programs are ranked 7th and 8th respectively in the US.

2. BU has received the highest research classification ("RU/VH") by the Carnegie Foundation.

Marquee AI Personality:1. Seth H. Pritikin, American

Well, lead the implementation of telehealth in nation’s most

prestigious health systems.


Tech/Pharma

Collaboration

& COEs


Entry Level• Biomedical Engineering

• Neuroscience• Behaviour & Health

Intermediate

• Applied Biostatistics• Bioinformatics• Visual & Digital Health Communication• Health Services & Systems Research• Biomedical Sciences and Health IT

Mature• Biomedical Sciences, Program in (PiBS)• Cognitive & Neural Systems• Medical Artificial Intelligence• Pharmacology & Experimental Therapeutics• Advanced Health Informatics

BU: Collaboration with Technology and Pharmaceutical companies with special focus on Cancer and Personalized Medicine research

United Neuroscience Ltd. and BU School of Medicine have a collaboration to investigate potential Endbody vaccines to target pathogenic forms of tau protein.

Philips Healthcare & Boston University Engineering faculty have a project with multi-year funding to focus on personalized medicine.

The TRIP Project, by BMC a 5-year grant funded by NIH , aims to improve the delivery of quality breast cancer care among vulnerable patients through a coordinated care delivery model

PROFILE 1DESIGNATION: Associate Professor, Electrical and Computer Engineering Dept.

Education: B.S.E in Computer Engineering, MS in Electrical Engineering, PhD in Electrical EngineeringNo of publications: 20+

Research Areas: Computer Architecture, Embedded Systems, Logic Synthesis, Digital Logic Design, System Level Design, and Synthetic Biology.

Current works: Assembly of synthetic biological systems, constraint based device composition, visual editing environments

PROFILE 2DESIGNATION: Associate Professor of Medicine and Biostatistics

Education: B.S in Computer Science, MS in Computer Science/AI , PhD in Computer Science/AINo of publications: 100+ (co-authored)

Research Area: Computational Biology, Cancer Genomics, Statistics and Machine Learning

Current works: gene expression-based clinical classifiers,Computational genomics models, Cancer genomics

Note : DRAUP’s Talent Module analysed 100,000+ global universities to identify top universities and key courses in software engineering, ML and Big Data

Has raised $12.5M in funding

Has raised more than$1 in funding

Acquired by Medical Specialities Distributors

Universities

Source : DRAUP

36

36

Northeastern

Univesrsity

Tech Collaboration & CoEs:

Top Awards and Rankings:1. Ranked 1st in the best school

for internships by Princeton Review.

2. Ranked 40th in National Universities category by U.S. News and World Report.

Marquee AI Personality:1. Stephen S. Intille, Director

of mHealth Research Group, NortheasternUniversity


Tech

Collaboration

& COEs


Entry Level

• Robotic Science and Systems

• Machine Learning and Data Mining

• Human Computer Interaction

Intermediate

• Data Management in Healthcare

• Management Issues in Healthcare

Information Technology

• Introduction to Epidemiology

• Introduction to Data Mining/Machine

Learning

Mature

• Biomedical Nanotechnology

• Bioengineering

• Data Analytics engineering

• Professional Studies in Informatics

• Experimental Design and Biostatics

• Advanced Drug Delivery System

Northeastern University: Collaborations with Technology companies such as IBM and Phase Imaging, majorly working on Health Informatics and Health Data Analytics

NortheasternUniversity and IBM

have established a

strategic learning

collaboration to

integrate the

company’s in-house

education programs

with the university’s

academic

credentials.

Phase Holographic Imagingcollaborated with NortheasternUniversity to provide HoloMonitortechnology for establishing novel cell-analysis applications based on noninvasivetime-lapse imaging cytometry technology.

PROFILE 1DESIGNATION: Assistant Professor, College of Computer and Information Science

Education: BSCS, University of Massachusetts at

Amherst; PhD in Computer Science, Tufts University

No of publications: 100

Research Areas: artificial intelligence, data science,

machine learning, natural language processing and

information retrieval, applications in health

informatics

Current works:Convolutional Neural Network (CNN)

architectures for text, creating RobotReviewer

PROFILE 2DESIGNATION: Dean, College of

Computer and Information Science

Education: BA in Mathematics & Computer Science,

McGill University, MS and PhD in in Computer

Science, University of Massachusetts at AmherstNo of publications: 150

Research Area: Applied And Basic Machine Learning,

Knowledge Discovery In Databases

Current works: Evidence-based Medicine, Medical

Imaging, Neuroscience, Remote Sensing, And

Computer Security

Has raised $12.9M in

funding



Universities


Source : DRAUP

37

37Source: Zinnov GEIP

Industry/University Collaborations Courses/ProgramsHealthcare Initiatives

5 Globally renowned

Universities

Scientists and

Researchers 46K + Students across

institutions21K +

Medical Engineering and Medical

Physics (MEMP) program (is a five to

seven-year program)

Harvard-MIT Health Sciences and Technology (HST)

program• Master of Science programs Health

Informatics

• Health Data Analytics

• PHD-program in Personal Health

Informatics

Healthcare Innovation MBA Course

Digital Health Initiative

It is a collaborative effort between the Institute for Health System Innovation and Policy and the Hariri Institute for Computing

The Chan Zuckerberg Initiative partners with

UMass for a $5.5Mn grant project to enhance

healthcare using artificial intelligence

HBS Healthcare Initiative

It promotes faculty research, supports the

development of a portfolio of high-impact

educational programs, and creates an

interconnected HBS health community.

Incubating niche prototypes through advanced HealthTech courses in data science,

bio-informatics and analytics

“Top Universities like Harvard and MIT produce valuable talent. Universities in Boston have their hands in

Healthcare AI through collaborations and partnerships”

Universities


Rhoda AuDirector of Neuropsychology, Framingham Heart Study

Source : DRAUP

38

38

University research labs are highly focused towards digital technologies like AI, Cloud computing and IoT for healthcare applications

Research Institutions

These institutes play a critical role in the science innovation and discovery in Boston ecosystem - and share innovation and discovery with scientist around the globe.

-

CollaborationName Focus Area

Hariri Institute

IBM Watson-

MIT Media Lab

Wyss Institute

Broad Institute

Boston University

MIT Lincoln Laboratory

Red Hat

Honda

MIT

University of Zurich

Boston University

Massachusetts General Hospital

Harvard Medical School

The Broad Institute

University of Michigan

University of Pennsylvania

MIT

Harvard University

Harvard Affiliated Hospitals

• Cloud Economics

• Bioinformatics

• Brain Activity

Mapping

• Enterprise Mining

• Smart City

• Network Security

• Open Cloud

Technologies

• Artificial Intelligence

• Cloud Computing

• Data Science

• Cyber Security

• 3D Printing

• Gene Circuits

• Immunotherapy

• Microfabrication

• Medical Devices

• Building Materials

• Nanodevices

• 3D Organ Engineering

• Living Cellular Devices

• Immuno-Materials

• Bioinspired Therapeutics

• Data Sciences

• Genetic

Perturbation

• Genomics

• Metabolomics

• Proteomics

• Imaging

• Chemical Biology & Therapeutics

• Genome Regulation &

Epigenomics

• Medical & Population Genetics

• Molecular

Machines

• Biomechatronics

• Fluid Interfaces

• Augmented

Reality

• Affective

Computing

• Data Sciences

• Artificial Intelligence

• Computer Vision

• Neurotechnologies

• Robotics

• 3D Printing

• Internet of Things

Universities


Source : DRAUP

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39

Case Study- MIT is leveraging open innovation via platform partnerships, incubators, hackathons and tech research centers

They partnered in 2017 to set up an AI innovation lab. IBM invested $240 Mn to setup this lab.

University Ecosystem in Boston

Combination of Courses, Research labs, partnerships, competitions etc.

COMPETITIONS

RESEARCH CENTERS

They have come up with a program called “MIT-HMS Healthcare Innovation Bootcamp” to further innovation and entrepreneurship in healthcare

• It is an initiative by MIT to solve the biggest challenges in healthcare via a setup of a hackathon.

• Sloan Healthcare Innovation Prize is a pitch competition for entrepreneurs to encourage them into the healthcare space.

STARTUPS

This startup has developed the L-Card, which can detect lung cancer on a person’s breath.

The CSAIL is a dedicated research center dedicated to exploring and furthering the application of technology and artificial intelligence to clinical situations.

Universities


Source : DRAUP

40

40

Start-ups are focussed on mature healthcare segments and digital healthcare technology areas

Source : DRAUP

USD 1.5 Billion

Total Funding in 2017

Boston

>116deals

Bay Area

USD 0.96 Billion

Total Funding in 2017

Health-Tech start-ups in Boston are focussed on mature healthcare segments

The data points above are curated from DRAUP’s start-ups module. DRAUP tracks data from 400K start-ups across 13 different verticals.

The data points above are for start-ups working in the Health Tech verticalNote:

33deals

Top Focus Areas

Boston is the second best US metro area

for digital health deals after Bay area

VCs

Accelerators

Hospitals

Patient Experience

Fitness & Wellness

Predictive Analysis

Data Management Platforms Remote Monitoring

Therapeutics

Diagnostics

Drug Discovery

Consumer Health Information Chronic Disease Management

Start-Ups

Source : DRAUP

41

41

ML algorithm start-ups which also provide dedicated data management tools and digital collaboration workflows are most successful in scaling prototypes

Key Start-up Case Studies

Healthcare start-ups in Boston are developing

solutions across four major segments. Their

major focus is on developing data-based

diagnostic solutions.

AI & Advanced Analytics

Diagnosis

Remote Monitoring

Data Collection & Analysis

*Relative number of start-ups

Cyft partners with leading care organizations to optimize care management for chronic / complex, behavioral health, and dual-eligible populations.

Provider data management solutions that help health systems match patients with the right providers and enhance patient access enterprise-wide.

Seven Bridges Platform is a cloud-based environmentfor conducting bioinformatic analyses. It is a central hub for teams to store, analyze, and jointly interpret their bioinformatic data.

Rx&You analyzes streams of patient-generated data with an inference-based AI rules engine to predict treatment non-adherence and prevent it

Mimo is a smart wearable baby monitor, pushing data on respiration, body position, skin temperature, audio, and activity level real-time to a parent’s smartphone. Uses genome sequencing & machine learning to

modernize and speed up infectious disease diagnosis and treatment

PathAI is using artificial intelligence to develop technology that assists pathologists in making rapid and accurate diagnose

Atlas5D provides real world evidence of patient function and mobility. Echo5D technology is an Ambient Measurement System (AMS) that accurately identifies and monitors patients in any setting

($48m)

($72m)

($1.8m)

($3.2m)

($3m)

($15.2m)

“Availability of training datasets is huge

particularly in Boston where lot of hospitals have

strong IT infra set-up to provide datasets”

Data

Management

Platform

AI/ML

Algorithms+Start-ups offering Data Management platforms

along with a second layer of ML algorithm over it.

This is one of the most successful use-cases for

healthcare start-ups.

Start-Ups



Misha HerscuFounder and CEO at EnvoyAI

Source : DRAUP

42

42

Network of Universities, VC Ecosystem and Hospitals are emboldening the start-up Ecosystem at different growth stages

University Ecosystem

Incubation Phase

Growth and Maturity Phase

Exit Phase

Strong VC Ecosystem

• Universities have set-up healthcare

centric incubators and

accelerators to support start-ups.

• They also conduct hackathons and

pitch competitions to encourage

entrepreneurs into the healthcare

space.

Collaborations with Hospitals

• Hospitals have created processes facilitate the

review and onboarding of proposed

pilots of start-ups.

• They help start-ups test their products and

take them to commercialization.• VCs have recently shifted their focus towards

Digital Healthcare in Boston and are setting

up accelerators and funds specially in

the healthcare segment.

A group of Boston business backers launched

a $26 million venture fund, and

accompanying incubator dedicated to digital

health startups

Massachusetts Innovation Catalyst Fund

Start-ups must demonstrate proof of

concept and pilot models which can show high

accuracy results of the success of the

healthcare products to convince decision

makers (Hospitals or Medical OEMS)

Key growth enablers during the life Cycle

The Engine - MIT

Harvard Innovation Labs

Northeastern University Mosaic Fund

Start-Ups



Dr. Steven MunevarPresident & CEO,

Munevar & Associates, Inc.

Source : DRAUP

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Boston government is actively promoting Digital Healthcare by setting up start-up accelerators and innovation labs

Massachusetts eHealth Institute

Digital Innovation Lab

✓ In November 2016, Gov. Baker in

Boston created a 33-member

Digital Healthcare Council to ensure

that the economic development

from the digital healthcare vertical

extends throughout the state.

✓ The council includes prominent

leaders from government, industry,

and medicine.

Digital Healthcare Council

The public-private collaboration is a recent initiative

by the government to invest $250,000 in two

digital health innovation labs

Pulse@MassChallenge, is a startup

accelerator/contest backed by the city of

Boston, the commonwealth of Massachusetts,

and the Massachusetts Competitive Partnership.

TechSpring provides startups with a place to

connect with leading healthcare and technology

experts, the opportunity to validate their ideas with

existing health systems, and a forum for

collaboration within the ecosystem.

✓ MeHI is the designated state

agency for coordinating healthcare

innovation and technology.

✓ It has set up a digital healthcare

hub in Boston to accelerate the

healthcare ecosystem.

Government Initiatives to

Promote Digital Healthcare

1

2

3

Source: The above analysis is based on the information presented on Boston and Massachusetts Government websites and DRAUP’s proprietary engineering

database and insights from industry stakeholders, updated as on Jul, 2018;

Source : DRAUP

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AGENDA

Source : DRAUP

45

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Thank You

Job Progression

Previous roles

MANUFACTURING

ENGINEER

ELECTRICAL

ENGINEER

BIOMEDICAL

TECHNICIAN

SOFTWARE

ENGINEER/SYSTE

MS ENGINEER

VALIDATION &

VERIFICATION

ENGINEER

Required Skills and Certifications

Overlapping Skills

Existing skills that can be leveraged as an employee progresses towards a

tech adjacent role

Certifications Required

Professional certifications are a vital part of reskilling initiatives undertaken

by organizations to shift talent laterally and fill skill gaps

Progressive roles

Insurance talent are moving into tech adjacent roles by either

gaining certifications, upskilling or learning new tools

Required Skills

These are the core skills that an individual needs to learn to ensure that he can transfer successfully to

the new job role

SQL, EXCEL, Python

Analytics, Python,

Data

Analysis,

SQL, Python

SQL, Python, R

SQL, Python

Analytics, Visualisation,

Advanced Python

Machine Learning, Deep

Learning, Computer Vision,

Data Science

R, Visualization, Statistics

Machine Learning, Analytics,

Programming, Algorithms,

Spark

Coursera: Getting and Cleaning

Data, Exploratory Data Analysis,

R Programming

ML Certification - Stanford

University

MIT xPRO: Data Science and

Big Data Analytics: Making

Data-Driven Decisions

Data Science Specialization –

John Hopkins

Analytics, Visualisation,

SaaS, Power BI, ETL

Data Science in Real Life:

Coursera, Machine Learning &

AI Foundations: Lynda

Talent Reskilling: While the available talent is scarce, Internal Talent Reskilling is a big opportunity to fill the AI talent gap

DataScientist

Source : DRAUP

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Thank You

Leverage Internal IT Talent: GE HealthCare can leverage adjacent talent, employed across verticals to meet increasing demands across Data Scientist roles

Ivan Felix Cazares

Bachelor of Science, Bioengineering and Biomedical EngineeringUniversity of California, Merced

Palo Alto, California

Biomedical Technician(Feb 2016 – Present)

Data Scientist

Recommended Progression

Acquired SkillsR, Python, Data Analysis

• MIT xPRO: Data Science and Big Data Analytics: Making Data-Driven Decisions

Neighbouring SkillsCAD, Java, 3D

Modelling


Mario Rosales

Bachelor's degree, Mechanical EngineeringUniversity of Wisconsin-Madison

Madison, Wisconsin

Validation & Verification Engineer(Jun 2018 – Present)

Data Scientist


Acquired SkillsPython, C++,Data Analysis, VBA

• Certified Analytics Professional (CAP)

• Cloudera Certified Associate (CCA) Data Analyst

Neighbouring Skills

Mathematica, MATLAB, LabVIEW


Samuel Crisanti

Masters of Science , Mechanical EngineeringUniversity of Wisconsin-Milwaukee

Greater Milwaukee Area

Manufacturing Engineer(May 2018 – Present)

Data Scientist


Acquired SkillsSQL , R ,Python

• Getting and Cleaning Data, Exploratory Data Analysis, R Programming- Coursera

Neighbouring SkillsJava, MATLAB, AutoCAD


Cang Le

Bachelor’s Degree, Computer Science, University of Illinois at Chicago

Chicago, Illinois

Software Engineer(July 2018 – Present)

Data Scientist


Acquired SkillsC++, Python, SQL,

• ML Certification - Stanford University

• Data Science Specialization –John Hopkins

Neighbouring SkillsJava, Data Modelling , MATLAB


Source : DRAUP

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Thank You

Targeting smaller universities: University curriculum not easy to understand, DRAUP analyses course structures to help HRs hire the right talent for each job role

UNIVERSITIES

BLOCK

CHAIN

Courses

AR/VR

Courses

UX Design

Courses

Data

Science

Courses

Backend Engineering

Courses

HARVARD UNIVERSITY 12 5 3 43 3MASSACHUSETTS INSTITUTE OF

TECHNOLOGY6 9 23 1

STANFORD UNIVERSITY 33 31 10 120 22

UNIVERSITY OF CALIFORNIA BERKELEY 21 11 4 59 11SONOMA STATE UNIVERSITY 1 3 5

THE UNIVERSITY OF TEXAS AT DALLAS 4 7 2 9 2

POMONA COLLEGE 2 2 6 2

AZUSA PACIFIC UNIVERSITY 2 1 2 4

THE UNIVERSITY OF OKLAHOMA 5 5 1 12 3

WORCESTER STATE UNIVERSITY 1 2

YOUNGSTOWN STATE UNIVERSITY 1 1 5 3

UNIVERSITY OF SOUTHERN MAINE 1 1 7 2

Many major collages and smaller collages across the US are offering courses in newer technologies

Note : DRAUP’s proprietary talent module was used to analyse millennial moments across various cities

Source : DRAUP

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Thank You

Targeting Smaller Universities: Data Science Deep Dive: CMU, MIT and Stanford offer most advanced courses such as computational biology, genetic algorithm and Cognitive Modelling Robotics

Top AI/ Big Data

Talent

Universities

Beginner

Courses

Intermediate

Courses

Advanced

Courses

CARNEGIE

MELLON

UNIVERSITY

Cognitive

Science

Logic

Programming

Machine

Learning

Computational

Biology

Computer Vision

Neural networks

AI &

Manufacturing

UNIVERSITY OF

CALIFORNIA

BERKLEY

Decision Theory

Probabilistic-

Reasoning

Genetic

Algorithm

Robotics

Problem Solving

Neural Networks

Integrated AI-

Architecture

MASSACHUSET

TS INSTITUTE

OF

TECHNOLOGY

Cognitive

Science

Decision Theory

Computational-

Biology

Philosophy of AI

Neural Networks

STANFORD

UNIVERSITY

NLP

Machine

Learning

Cognitive

Modelling

Robotics

Distributed AI

Small Universities/Community

CollagesBeginner Courses Intermediate Courses

Advanced

Courses

THE UNIVERSITY OF TEXASSpeech and Machine

Learning

NLPAutomata Theory

Combinatorics and Artificial

Intelligence

SONOMA STATE UNIVERSITY

Adversarial Game-Tree

Search

Fuzzy Logic

BioinformaticsNeural Networks

Genetic Algorithms

POMONA COLLEGEHuman Computer Interaction

Machine Learning

NLP

Robotics

Computer Vision

Biological Problems through

Computational Methods

AZUSA PACIFIC UNIVERSITY

Applied Machine Learning

Big Data Analytics &

Technologies

NLP

Research Psychology

Predicting Chronic Bronchitis

Symptoms Using Machine

Learning

WORCESTER STATE

UNIVERSITY

Database Design and

Applications

Data Mining

Big Data Analytics CapstoneArtificial Intelligence

Robotics

WICHITA STATE UNIVERSITYArtificial Intelligence

Robotics

YOUNGSTOWN STATE

UNIVERSITY

Applied Artificial Intelligence

Data Warehousing and Data

Mining

Artificial Intelligence in Game

Design

Artificial Intelligence

Cloud Computing and Big

Data

UNIVERSITY OF SOUTHERN

MAINEMachine Learning

Artificial Intelligence and

Data Mining

Autonomous Robots

Courses offered by top universities Courses offered by niche universities and Community colleges

Course maturity Low Medium High

Note : DRAUP’s proprietary talent module was used to analyse millennial moments across various cities

Source : DRAUP

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Thank You

B.Sc. in Pure MathematicsM.Sc. in Financial Mathematics; M.Sc. in (Pure) Mathematics; M.Sc. in Computer Science and EngineeringPh.D. in Computer Science and Engineering

• Harvard University• University Medical Center• Massachusetts Institute of Technology• University of Toronto• Osaka University• Utrecht University• Technische Universität München• Pierre-and-Marie-Curie University

University of Southern Maine

Research Focus: ❑ Medical Image Analysis❑ Biomedical Image Segmentation❑Machine Learning❑ Artificial Intelligence❑ Deep Learning

140NA

Patents Citations

6

H-index

Expertise: Artificial Intelligence

Other University Affiliations

Education

Student Profile

Post doc PhD Others

NA Na NA

University of Southern Maine

https://www.worcester.edu/

Student Population: 6,110

Number of AI Professors: 1

Hady (Parham) Ahmady PhouladyAssistant Professor, University of Southern MaineEmail: [email protected]: (207)228-8401

• The Chinese University of Hong Kong• University of Warwick• Pontifical Catholic University of Peru• Beth Israel Deaconess Medical Center• Eindhoven University of Technology• Middle East Technical University• University of Tampere• National Academy of Sciences

• National Academy of Sciences• Tampere University of Technology• National Health Service• University of Castilla–La Mancha• University of South Florida

Note : DRAUP’s proprietary talent module was used to analyse research areas of Professors

mailto:[email protected]

Source : DRAUP

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50

Thank You

B.S., Central Connecticut State UniversityM.S., University of ConnecticutPh.D., University of Connecticut

Worcester State University

Research Focus: ❑ Big Data❑ Artificial Intelligence

4NA

Patents Citations

4

H-index

Expertise: Artificial Intelligence

Other University Affiliations

Education

Student Profile

Post doc PhD Others

NA Na NA

Worcester State University

https://www.worcester.edu/

Student Population: 6,471

Number of AI Professors: 1

Karl R. WurstProfessor, Worcester State UniversityEmail: [email protected]: 508-929-8728

• Western New England University• Drexel University• Purdue University• Franklin W. Olin College of Engineering• Nassau Community College• Beloit College

Note : DRAUP’s proprietary talent module was used to analyse research areas of Professors

Source : DRAUP

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Thank You

Calibrating degree needs: DRAUP Open position analysis for Dallas shows, 27% of the Open positions in IT job roles do not require Bachelors/Masters degree

WHO IS REPLACING THEM?

Lambda School trains students in technology skills and provides them job guarantees, they recently raised

$14M to scale operations across USA

Khan Academy is a platform where experts create content across various

technologies to students to learn and develop expertise

Coursera is also a content based platform which offers certification

based technology courses to students

Holberton school emphasises on project based learning and helps

students improve their technical skills

Note : DRAUP’s proprietary talent module was used to analyse open positions data for Dallas

~27%

9K Jobs analysed

No-degree requirement

Android Developer

Applications Developer/EngineerCloud Architect

Cloud Engineer

Data Architect

Data Center Technician

Desktop Support

Frontend Engineer

Full Stack Engineer

iOS Developer

IT Consultant/Busine

ss Consultant

Technical Support Engineer

Java Developer

Network Administrator

Performance Engineer

QA Test Automation Engineer

Salesforce Developer

Security EngineerSolutions Architect

UX Designer

0.20

0.22

0.24

0.26

0.28

0.30

0.32

0.34

0.36

0.38

0.40

0 50 100 150 200 250 300 350

Open Positions

% J

ob

s w

ith

No

n-D

egre

e R

equ

ire

me

nt

Open Positions Analysis - DALLAS

Source : DRAUP

52

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