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

Join the Data-driven Epidemiology and Biology of Infection research area (DDLS, Sweden) and the Fleming Initiative (UK) for an inspiring lunch-to-lunch meeting filled with science, networking, and discussions. Primarily for the participants from Sweden and the UK. Others may inquire about availability. Contact information for Saba Parween is found under the headline Registration.

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.

This event is jointly organised by the Data-Driven Life Science program (DDLS, Sweden) and the Fleming Initiative, and is hosted by SciLifeLab and the Knut and Alice Wallenberg Foundation.

Read more about the Data-Driven Life Science program

Registration

Deadline: 24 February 2026

Primarily for the participants from Sweden and the UK. Others may inquire about availability.

Saba Parween saba.parween@umu.se

Sessions

Data-Driven Insights into Infection Biology

Applications of Diagnostic and Surveillance Data

Novel Data Approaches for Diagnostics and Patient-Level Care

Research Translation and Implementation of AI in Healthcare

Confirmed Speakers

• Laura Carroll, Umeå University, Sweden

• David Aanensen, University of Oxford,UK

• Carolina Wählby, Uppsala University, Sweden

• Daudi Jjingo, Makerere University, Kampala, Uganda

• Damien Ming, Fleming Initiative, UK

• David Lund, Chalmers University of Technology, Sweden

• Suzanne Ruhe-van der Weff, Karolinska Institutet, Sweden

• Nina Zhu, Imperial College London, UK

• Sanjiv Sharma, University of Liverpool, UK

• Christian Giske, Karolinska Institutet, Sweden

• Mauricio Barahona, Imperial College London, UK

• Anna Johnning, Chalmers University of Technology, Sweden

• Nick Moser, Google DeepMind, hosted at Fleming Initiative and Imperial College London, UK

• David Fange, Uppsala University, Sweden 

• Johan Bengtsson-Palme, Chalmers University of Technology, Sweden

Organising Committee

• Erik Kristiansson, Chalmers University of Technology/University of Gothenburg

• Alison Holmes, Fleming Initiative

• Laura Carroll, Umeå University

• Damien Ming, Fleming Initiative

• Johan Elf, Uppsala University

• Amish Acharya, Fleming Initiative

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