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
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.
Live stream will be activated here.
AI in precision medicine
https://qcnl.tv/e/WwGIHA0JAL4Za8bCwBfuIA
Programme
- 9.00–9.20 Welcome and introduction
- Andreas Jacobsson, Johan Engblom 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. MD, PhD, Senior Consultant in Clinical Pathology. Chair of the working group at the National Regional Cancer Center (RCC) for cancer genomics and molecular pathology.
- 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
