New hybrid approaches to Precision Medicine: machine learning, generative AI, and digital twins
November 5, 2024 @ 10:30 – 17:00 CET
Workshop postponed to the spring – date to be decided!
Precision medicine and diagnostics is becoming a vitally needed technology to meet tomorrow’s healthcare challenges. Important revolutions in machine learning (ML) now allow us to analyze images and multi-omics data, and aid in both diagnosis, prognosis, and tailoring of personalized treatments. Similarly, recent breakthroughs in generative AI allow us to use new interfaces and input sources, using e.g. large language models (LLM). Finally, wearable sensors and a variety of eHealth apps allow us to get much needed information about what an individual is doing, which opens the door to personalized predictions beyond the use of risk factors and covariates. However, the combination of all of these disparate data sources, where different sets of variables are measured in each source, require hybrid approaches, where knowledge-based digital twins are combined with ML and generative AI.
In this mini-symposium, we will focus on all these new emerging technologies and their hybrid combinations. The event features keynote presentations, shorter presentations selected from abstracts, and ample networking opportunities, e.g. around a poster session.
If you have questions or suggestions regarding the program, please feel free to contact the chair of the program committee at gunnar.cedersund@liu.se.
We look forward to welcoming you to Linköping in the spring 2025!
Preliminary program
10.00-10.30 Coffe and registration
10.30-10.45 “Welcome to conference, and overview of program” Gunnar Cedersund
10.45-11.00 “Overview of DDLS activities and Precision Medicine” Janne Lehtiö
11.00-11.30 Keynote 1
11.30-12.00 Keynote 2
12.00-13.30 Lunch and poster session
Parallel session 1: Generative AI and large language models
13.30-14.00 Invited main speaker
14.00-14.20 Speaker selected from abstracts
14.20-14.40 Speaker selected from abstracts
14.40-15.00 Speaker selected from abstracts
Parallel session 2: Digital twins and simulation models
13.30-14.00 Invited main speaker
14.00-14.20 Speaker selected from abstracts
14.20-14.40 Speaker selected from abstracts
14.40-15.00 Speaker selected from abstracts
15.00-15.30 Coffee
15.30-16.00 Last keynote
16.00-16.30 Roundtable final discussions, wrapping up
Members of The Data-driven Precision Medicine & Diagnostics expert group:
Gunnar Cedersund, Linköping University
Sven Nelander, Uppsala University
Lars Klareskog, Karolinska Institutet
Johan Trygg, Umeå University
Patrik Georgii-Hemming, Karolinska Institutet
Päivi Östling, KI (adj. SciLifeLab Precision Medicine Capability lead)
Francis Lee (adj. WASP-HS representative in DDLS)
David Gisselsson Nord (adjunct as GMS representant)
Janne Lehtiö, chair (DDLS SG member)
Google Calendar 
