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AI for Life Science @ KTH

On October 14, 9.00-17.00 KTH’s research platforms on Digitalization and Life Science Technology arranged a daylong digital workshop on artificial intelligence and machine learning for life science, health and care. The aim was to bring together academia, industry and government to imagine and organize a research agenda for AI in Health, for Stockholm and Sweden.

Watch the event 

Welcome and introduction

Thomas Wiegand: ITU/WHO Focus Group on Artificial Intelligence for Health

Örjan Smedby: Digital image data and healthcare - a case for machine learning

​Søren Brunak: Combining AI and population-wide disease trajectories in N=1 precision medicine

Henrik Hult: Interpolation in auto-encoders with bridge processes

Emma Lundberg: Spatiotemporal dissection of the human proteome

Panel Session: The future of AI and Life Science in Sweden

About the event

Agenda

9.00–9.05 Introduction

9.05–9.55 Plenary talk by Thomas Wiegand . ITU/WHO Focus Group on Artificial Intelligence for Health.

9.55–10.10 Invited talk by Örjan Smedby . Digital image data and healthcare - a case for machine learning.

10.10–10.25 Invited talk by Hedvig Kjellström . AI and Social Robots - a New Way Forward in Dementia Diagnostics.

10.25–10.45 Break

10.45–11.35 Plenary talk by Søren Brunak . Combining AI and population-wide disease trajectories in N=1 precision medicine.

11.35–11.50 Invited talk by Henrik Hult . Interpolation in auto-encoders with bridge processes.

11.50–12.05 Invited talk by Jens Lagergren . Models and algorithms for somatic evolution in cancer.

12.00 –13.00 Break

13.00 –13.50 Plenary talk by Emma Lundberg . Spatiotemporal dissection of the human proteome - a crowdsourced and gamified approach.

13.50 –14.05 Invited talk by Joakim Lundeberg . Transcriptional landscapes in health and disease interpreted by AI.

14.05 –14.25 Break

14.25 –15.55 Parallel breakout sessions

16.00 –17.00 Panel Session and Wrap Up

Abstracts of talks

Abstracts of talks (pdf 588 kB)

 Program of breakout sessions

AI challenges and opportunities with Stockholm Health Data Center (pdf 82 kB)

AI and modelling for epidemiology research (pdf 109 kB)

AI and data science for diagnostics and health decision support (pdf 160 kB)

AI and Data Science Challenges in Life Science Research (pdf 463 kB)

Future of advanced AI supported imaging for life science research (pdf 406 kB)

Complete program

Complete workshop program with abstracts and breakout sessions (pdf 378 kB)

 See the invitation flyer for the event here: Workshop: AI for Life Science (pdf 449 kB)

Panel "The future of AI for Life Science in Sweden"

  • Maja Fjaestad, State Secretary, Ministry for Health and Social Affairs
  • Clara Hellner, research and innovation director for Region Stockholm

  • Jenni Nordborg, National Coordinator for Life Science
  • Dan Hill, Vinnova, Director of Strategic Design
  • Louise Callenberg, SKR, Head of section digital collaboration and renewal
  • Peder Blomgren, Astra Zeneca, VP and Head of data Office, R&D