KNOWLEDGESTREAM AT-A-GLANCE

The Future of AI Technologies in Life Sciences

ABSTRACT

AI Technologies, Applications and Roadmap Strategies in Life Sciences

PARTICIPANTS

Fabrice Angelini
Sales Force Effectiveness Project Manager Southern Europe chez Thermo Fisher Scientific
Ed A
Don Smith
Inventor and Founder at 1nhaler
David Whewell
CTO, Chief Architect, Top 100 leaders in AI in Healthcare 2019
Anand V
Consultant
Harpreet Sethi
Senior Data Scientist , Artificial Intelligence and Machine Learning at Wolters Kluwer Tax & Accounting
Iain Hennessey
Clinical Director of Innovation at Alder Hey Children's Hospital
Chris Woods
Global Innovation & Strategy Leader at Insight
Skye Hodson
Senior Strategy Consultant, Entrepreneur, Biochemist (PhD)
Ricardo Santos
CEO at Heptasense | Investor | Europe's 100 Hottest Startups by Wired
Dennis Lauth
Pharmaceutical Executive with 20+ years of driving growth, promoting transformation and improving business performance
Simon Lin
Research CIO at Nationwide Children's Hospital; Tel: 614-355-6629
Donald Wedding
Data Scientist / Statistician
Melvin Golosinda Medes
Mental Health Specialist ❄ Case Manager ❄ Education Resource Specialist
Arnab Paul
CEO l President I WHO - Roster of Expert - Digital Health I Regional Chair I Strategic Advisor I Blockchain - HIMSS, USA
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OBJECTIVES

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100% Complete
Start Date: Oct 13, 2017
End Date: Apr 7, 2018
1705

CONTRIBUTIONS

ACTIVITY

207 Days

9 Themes

24 Contributors

960 Posts

745 Comments

617 Followers

OUTPUTS

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THEME #1

What's your general awareness of, thoughts about and experiences with artificial intelligence?

THEME #2

What are some of the technology capabilities and trends driving AI evolution in the life sciences?

THEME #3

Data equality and quality - the nightmare that is scientific research documentation

THEME #4

12 Big Data Challenges for AI - Lets' look at these in light of biomedical science

THEME #5

Tracking Your Life - Literally In Every Respect

THEME #6

Where does this al really start? First Applications? Clinical, Research or Academia?

THEME #7

University Research and Industry Collaboration - The Impact and Reality

THEME #8

Patients and Athletes in the Field - Start Clinical Med AI here?

THEME #9

Real, granular adoption by and through the people - how exactly does that happen?