2nd November at 08:30-16:00
Onsite event
in Cal1 auditorium, Calonia
Flyer

Modern medicine is increasingly driven by large and diverse datasets. Genomics, transcriptomics, proteomics, radiomics, pathomics and other omics technologies provide unprecedented opportunities to understand disease at the individual level — but their true clinical value depends on our ability to integrate, interpret and translate these data into meaningful decisions.

This is a one-day multidisciplinary lecture course bringing together internationally recognized experts in AI, genomics, transcriptomics, metagenomics, radiomics, digital pathology and medical digital twins. We will explore how artificial intelligence can integrate complex multimodal biological and medical data to advance disease diagnosis, treatment prediction, personalized therapy and clinical decision-making.

The 100 lunch seats got already filled, but we will offer you morning and afternoon coffee during the day.

The event is free of charge, welcome everyone!

Register to the event at latest on Monday 26 October 2026:
https://link.webropolsurveys.com/S/FFDC939EAD87C951

Program

8:30–9:00 | Morning coffee

9:00–9:10 | Welcome and opening words

9:10–10:10 | Lecture 1
   Connecting the dots: From radiomics and multiomics to patient digital twins
   Prof. Philippe Lambin, Maastricht University, The Netherlands

10:10–10:55 | Lecture 2
   Metagenomics for diagnosis of infection
   Dr. Julianne Brown, MD, PhD, Great Ormond Street Hospital for Children, UK

10:55–11:10 | Stretch break

11:10–11:55 | Lecture 3
   Genomics and transcriptomics for treatment prediction
   Prof. Tero Aittokallio, University of Oslo, Norway, and University of Helsinki, Finland

11:55–13:10 | Lunch provided for 100 first registrants in restaurant Macciavelli

13:10–13:55 | Lecture 4
   AI-enabled computational pathology
   Prof. Pekka Ruusuvuori, University of Turku, Finland

13:55–14:40 | Lecture 5
   Digital twin models to dissect metabolic flux in the cancer microenvironment
   Prof. Deepak Nagrath, University of Michigan, USA

14:40–14:55 | Coffee break

14:55–15:55 | Panel discussion:
Multiomics and AI in precision medicine: From data to clinical impact
   Moderator: Prof. Saara Wittfooth
Panelists: Philippe Lambin, Julianne Brown, Tero Aittokallio, Pekka Ruusuvuori, Deepak Nagrath, Sammeli Liikkanen

15:55–16:00 | Closing words

Read more about the speakers and the program from the event web pages:
https://www.utu.fi/en/news/events/ai-empowered-multiomics-for-precision-medicine

More information about the event from Xiang-Guo Li (xiali@utu.fi) and Maija Lespinasse (miholm@utu.fi)

The event is arranged by Health, Diagnostics and Drug Development multidisciplinary theme.