The Future of AI Technologies in Life Sciences
09: Real, granular adoption by and through the people - how exactly does that happen?
08: Patients and Athletes in the Field - Start Clinical Med AI here?
07: University Research and Industry Collaboration - The Impact and Reality
06: Where does this al really start? First Applications? Clinical, Research or Academia?
05: Tracking Your Life - Literally In Every Respect
04: 12 Big Data Challenges for AI - Lets' look at these in light of biomedical science
03: Data equality and quality - the nightmare that is scientific research documentation
02: What are some of the technology capabilities and trends driving AI evolution in the life sciences?
01: What's your general awareness of, thoughts about and experiences with artificial intelligence?
Adam Malofsky, PhD


group 24
Fabrice Angelini
Ed A
Don Smith
David Whewell
Anand V
Harpreet Sethi
Iain Hennessey
Chris Woods
Skye Hodson
Ron Ribitzky
Ron Ribitzky
Alper Kucukural, PhD
Elizabeth C
Jeremiah M
Ricardo Santos
Damian Mingle
Inka Saarinen
Dennis Lauth
Simon Lin
Donald Wedding
Jennifer Dunphy, MBA, MPH
George Awad
Melvin Golosinda Medes
Arnab Paul