Technology for Personalized Medicine
summary
The talk surveys technologies driving personalized medicine, focusing on electronic health records, genomic data, and daily activity monitoring combined with artificial intelligence. It explains how these data sources and AI tools are being used to build practical tools that improve workflows for healthcare professionals and patient experiences.
AI-written summary · about
chapters (7)
- 0:00Personalized medicine intro
- 3:535P health model
- 5:41Genomic health benefits
- 16:05Lifestyle monitoring
- 25:51Clinical data platform
- 31:15AI at Sanitas
- 40:15Lessons and future
related talks
16mMultimodal AI: Transforming Patient-Centered Healthcare
32mPanel: AI and Big Data in Medicine
09mCan Tech Eliminate death?
18mCan AI make us smarter than cancer
28mThe Future of Healthcare – AI’s Promise and the Challenges Ahead
53mThe Algorithm for Precision Medicine
37mPanel: AI, Algorithms – How Innovative Medical Devices Improve Patient Care
22mThe Future of AI and Digitally Enabled Health & Medicine: What's Next
