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AI in Precision Medicine – 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.

A mini-symposium

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 personalized healthcare and beyond.

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

Practical info

The live stream will be shown here.

 

Program

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

10:50–11:10 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 AI

Karl 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

12.10-12.30 Concluding remarks – Andreas Jacobsson, Malmö University