Artificial intelligence and data-driven approaches for addressing the global challenge of antibiotic resistance

March 11, 2026 March 12, 2026
Event Tags:
Data-driven life science program DDLS

Venue

Artificial intelligence and data-driven approaches for addressing the global challenge of antibiotic resistance

March 11 @ 12:00 March 12 @ 13:00 CET

Join the Data-driven Epidemiology and Biology of Infection research area (DDLS, Sweden) and the Flemming Initiative (UK) for an inspiring lunch-to-lunch meeting filled with science, networking, and discussions.

Infections caused by antibiotic-resistant bacteria are increasing, leading to millions of deaths and rising societal costs. Eighty years after Alexander Fleming was awarded the Nobel Prize for his discovery of penicillin, we are still confronted with the urgent challenge of diminishing antibiotic effectiveness. This symposium will explore how artificial intelligence and other data-driven approaches can provide new strategies to combat the growing threat of antibiotic resistance.

The DDLS research area symposia series aims to engage and promote the national scientific community around the DDLS research themes. The symposia bring together researchers, industry, and healthcare to stimulate collaboration and push the frontiers of data-driven life science. The events are open for everyone interested in data-driven research to participate.

This event is jointly organized by the Data-Driven Life Science program (DDLS, Sweden) and Imperial College (UK), and is hosted by SciLifeLab and the Knut and Alice Wallenberg Foundation.

Registration opening soon!

Date: 11-12 March 2026
Time: lunch-to-lunch
Venue: Norrlands Nation Fest and Conference, Västra Ågatan 14, 753 09 Uppsala

Confirmed Speakers

  • Laura Carroll, Umeå University, Sweden
  • David Aanensen, Oxford University, UK
  • Carolina Wählby, Uppsala University, Sweden
  • Daudi Jjingo, Makerere University, Kampala, Uganda
  • Damien Ming, Imperial College London
  • Kaisa Thorell, University of Gothenburg, Sweden
  • David Lund, Chalmers University of Technology, Sweden
  • Suzanne Ruhe-van der Weff, Karolinska Institutet, Sweden
  • Nina Zhu, Imperial College, UK
  • Sanjiv Sharma, Liverpool University, UK
  • Christian Giske, Karolinska Institutet, Sweden
  • Mauricio Barahona, Imperial College, UK
  • Anna Johnning, Chalmers University of Technology, Sweden
  • Nick Moser, Google DeepMind, UK

Organizing Committee

Erik Kristiansson, Chalmers University of Technology/University of Gothenburg’
Alison Holmes, Imperial College London
Laura Carroll, Umeå University
Damien Ming, Imperial College London
Johan Elf, Uppsala University
Amish Acharya, Imperial College London

Questions can be answered by the Organizing Committee or events@scilifelab.se

Read more about the research area.

Read more about the Fleming Initiative. 

Last updated: 2025-12-03

Content Responsible: Hampus Pehrsson Ternström(hampus.persson@scilifelab.uu.se)