FACULTY OF HEALTH AND SOCIETY | Networkmeeting
AI in precision medicine

Monday 26 May, 09:00 - 12:30
Allmänna sjukhuset, E002 (auditorium), Jan Walderströms gata 25, or livestream 26
May

Entré till Allmänna sjukhuset, byggnaden för Fakulteten för hälsa och samhälles verksamhet.

Latest developments and future directions

Artificial Intelligence (AI) is becoming an increasingly important part of healthcare, as well as clinical and pre-clinical research in Sweden and across the EU. To meet emerging challenges in applying AI to these fields, the AI in medicine network was established in 2023. The network aims to foster strategic national and international partnerships that strengthen AI applications in health and medicine through multidisciplinary collaboration.

As part of its activities, the network invites you to a half-day mini-symposium featuring leading experts from Sweden and abroad. Join us live to explore how AI is reshaping precision medicine, from AI-powered diagnostics and omics to personalised healthcare and beyond.

Hosts

This event is presented in collaboration with Malmö University, Region Skåne, and the AI Council of the Faculty of Medicine, Umeå University.

Practicalities

Welcome to attend in person or watch the livestream here. No registration needed.

Programme

9.00–9.20 Welcome and introduction – Andreas Jacobsson, Johan Enblom and Jenny Persson, Malmö University
9.20–10.00 Unleashing the power of synthetic data generation to transform AI in healthcare
Dimitros I. Fotiadis, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTH
10.00–10.20 Building a national clinical database for precision medicine, allowing for AI applications – integrated omics and examples from oncology and rare disease
Anders Edsjö, Section Head, Clinical Pathology, Region Skåne, Department of Clinical Genetics, Pathology and Molecular Diagnostics, Lund, Sweden
10.20–10.50 Coffee break
10.50–11.10 AI models based on omics data for prediction of context-specific pathway activities
Cemal Erdem, Department of Medical Biosciences, SciLifeLab – Wallenberg National Program for Data-Driven Life Science, Umeå University
11.10–11.30 AI Lund – a university wide network for A
Kalle Åström, Professor, Director of AI-LUND, Centre for Mathematical Sciences, Faculty of Engineering (LTH)
11.30–11.50 Towards personalised medicine with Internet of Things and Wearable devices
Dario Salvi, Associate Professor in Computer Science, Malmö University
11.50–12.10 Stepping up qualitative analysis and accounting for psychosocial factors in medical research and practice: transdisciplinary AI methods, applications and perspectives
Lois Vanhée, Co-director of the Centre for Transdisciplinary AI, Coordinator of the Socially Aware Artificial Intelligence Focus Area and of the Special Interest Group on Models of Human Decision, Department of Computing Science, Umeå University
12.10–12.20 Closing remarks – Magnus Wikforss, Head of IT, Malmö University