AI-empowered multiomics for precision medicine
How can AI and multiomics transform precision medicine?
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.
We will offer you coffees and lunch during the day, and the event is free of charge.
Welcome everyone!
AI-Empowered Multiomics for Precision Medicine
Monday, 2 November 2026 at 08:30-16:00
Auditorium Cal1, Calonia building, University of Turku
Flyer
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
Prof. Saara Wittfooth
9:10–10:10 | Lecture 1
Connecting the dots: From radiomics and multiomics to patient digital twins
Prof. Philippe Lambin, MD, PhD
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, PhD
University of Oslo, Norway, and University of Helsinki, Finland
11:55–13:10 | Lunch provided for participants in restaurant Macciavelli
13:10–13:55 | Lecture 4
AI-enabled computational pathology
Prof. Pekka Ruusuvuori, PhD
University of Turku, Finland
13:55–14:40 | Lecture 5
Digital twin models to dissect metabolic flux in the cancer microenvironment
Prof. Deepak Nagrath, PhD
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
Discussion topics include:
• Do we need multiomics in the clinic?
• Can public healthcare afford multiomics?
• AI and wet-lab data: how can we collaborate more effectively?
• What does multiomics mean from the perspective of the pharmaceutical industry?
• What will it take to translate multiomics from research into routine precision medicine?
15:55–16:00 | Closing words
Prof. Saara Wittfooth
Why should you join the event?
During this intensive one-day event, participants will gain an overview of key concepts and emerging technologies in multiomics and precision medicine, exploring how AI and data-driven approaches can integrate complex biomedical datasets. The lectures will highlight clinical applications of radiomics, genomics, transcriptomics, metagenomics, and digital pathology, as well as the development of medical digital twins using multimodal and omics data.
The day will conclude with a panel discussion addressing key questions from the field, including the role and affordability of multiomics in public healthcare, collaboration between AI researchers and wet-lab scientists, and the implications of multiomics for the pharmaceutical industry.
Who should attend?
All are welcome to join to listen to the lectures and the discussion. No matter whether your background is in medicine, biology, data science, imaging or technology, you are warmly welcome if you are interested in how AI and multiomics are shaping the future of precision medicine.
Those participants who wish to receive 1 ECTS are expected to participate in all the lectures and to submit a learning diary with reflections on the lectures. Peppi course code for enrolment will be provided to the registrants before the event. The lecture course is particularly suitable for PhD researchers, Master’s students and Medical students.
Learning outcomes
After the lectures, participants will gain an understanding of key methods for collecting, analysing, and interpreting multiomics data, as well as how omics and imaging data can support precision medicine. The course will introduce the role of AI in integrating complex biomedical information and highlight the opportunities and challenges of translating multiomics into clinical practice. Participants will also learn the basic principles of building medical digital twins from multimodal and omics data.
The event is organized by Health, Diagnostics and Drug Development (HDDD) multidisciplinary theme. HDDD promotes multidisciplinary research and education across medicine, life sciences, technology and data science.
Read more about the invited speakers
Maastricht University, The Netherlands
Philippe Lambin is a clinician-scientist and radiation oncologist specialising in precision medicine and cancer research. His work focuses on tumour biology, radiomics, tumour hypoxia, and AI-based decision-support systems. He has played a pioneering role in translating medical imaging and data science into personalised cancer treatment.
Great Ormond Street Hospital for Children, UK
Julianne Brown is a clinical scientist specialising in molecular microbiology and virology. Her research focuses on using next-generation sequencing and other molecular methods to improve the diagnosis of infections, with particular relevance to clinical microbiology and paediatric medicine.
University of Michigan, USA
Deepak Nagrath is a biomedical and chemical engineer whose research focuses on systems biology, cancer, and cellular and molecular tissue engineering. His work combines experimental and computational approaches to understand cancer biology and develop technologies with potential clinical applications, including single-cell and tissue-level approaches.
University of Oslo, Norway; University of Helsinki, Finland
Tero Aittokallio is an expert in computational systems medicine, bioinformatics, and biostatistics. His research combines machine learning and mathematical modelling with biomedical data to advance precision medicine, drug discovery, and personalised treatment strategies.
University of Turku, Finland
Pekka Ruusuvuori specialises in bioimage informatics and AI-based analysis of biomedical images. His research focuses on computational pathology, cancer research, and the development of tools for image interpretation, predictive analytics, and multimodal biomedical data analysis.
CEO of PalsaIQ and Dianome
Sammeli Liikkanen works at the intersection of AI, data science, digital medicine, and genomic medicine. He has extensive experience in digital health and pharmaceutical R&D, including data platforms, AI/ML, bioinformatics, digital biomarkers, and digital therapeutics. As CEO of Dianome, he focuses on translating genomic data into insights that can support treatment decisions.
