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Thematic matchmaking workshop – Machine learning for personalized medicine and digital health & care

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Mar 25

Date and time: 25 March 2022, 09:00 – 13:30 CET
Title: Thematic matchmaking workshop – Machine learning for personalized medicine and digital health
Where: Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus

Click here to register (by Tuesday 22/3)

Digital Futures Thematic Matchmaking Workshops are dedicated to four different topics:

  1. Sustainable mobility, logistics, and cities – 18 March
  2. Machine learning for personalized medicine and digital health – 25 March
  3. Cyber-secure digital transformation – 1 April
  4. Industrial metaverse – 8 April

We invite you to our Digital Futures Thematic matchmaking workshop on machine learning for personalized medicine and digital health & care. The purpose of this workshop is to bring together people from the public sector, industry, and academia at Digital Futures to exchange ideas, learn about relevant problems and solutions, and enable new collaborations in general and specifically for future calls for proposals from Digital Futures.

To facilitate that, we will have a mix of short presentations to set the theme, very short pitch presentations by the participants to get a quick overview of what everyone is interested in or working on, and discussions in smaller groups on relevant sub-topics to enable future collaborations.

Topics of special interest include but are not limited to digital health and care independent of location, elderly care, personalized medicine, and machine learning to support these topics.

Preliminary program

08:00 – 09:00 Registration and networking

09:00  Welcome and presentations

10:00  Coffee break

10:15  Pitch presentations by participants (see info below for uploading slides)

11:15  Group discussions on sub-topics

12:15 – 13.15  Lunch and mingle

13:15 – 14:00 Matchmaking

Pitch presentations

In this workshop, we want to learn about both challenges (practical, organisational, scientific, etc.)  and solutions (tools, methods, processes, etc.). For your pitch presentation, please upload max. 2 slides, at the latest on 23/3, that includes what you can offer and what you are looking for.

Upload link:

Contact persons:

Presentations from the workshop:



NCE presentation to KTH 2022-03-25 on ML for healthcare WS




1Engelsak Äldrevänlig stad