At CAIM, we think AI from the perspective of healthcare providers and address real-world clinical needs for the benefit of patients. Our center was founded 2021 by the University of Bern and Bern University Hospital to shape the digital healthcare future by:
Researching AI systems that address clinical problems, including development, evaluation and dissemination.
Educating the next generation of AI researchers and digital native clinicians via leading academic and professional courses.
Connecting know-how and expertise to build a pipeline of innovative, clinical AI projects, technologies and products.
Translating AI technology innovation through industry collaborations, start-ups and early-stage investment.
People
Driven by the mystery surrounding protein function and its link to diseases, Thomas Lemmin explores the world of these tiny machines that power life. As Assistant Professor at the Institute of Biochemistry and Molecular Medicine at the University of Bern, Switzerland, he leads a team that currently uses a linguistic approach in which Artificial Intelligence (AI) deciphers the functions encoded within protein sequences. By cracking this code, far-reaching possibilities for designing new functions into proteins with specific benefits for health and society are unlocked.
November 2024
June 26, 2025
13:45 − 17:45
Swiss Governance Forum 2025
Media
In the SRF theme week on AI, Claus Beisbart, a member of the CAIM Ethics Lab, answered some questions on AI and its usage. In his answers he raises the issue of ethical AI also recently highlighted by DAIM at the Prix Lux ceremony
Research
Two members of the CAIM Executive team, Mauricio Reyes and Inti Zlobec have been recognised among the top 2% of scientists. The list released by Stanford and Elsevier provides a standardised dataset of the top-cited scientist by field.
(Photo: CAIM, University of Bern)
Biosignals are reflecting functional processes in human organs as e.g. the human brain or heart and can be e.g. depicted by functional MRI (fMRI), electroencphalograhy (EEG), electrocardiogram (ECG) or electrocochleography (ECOG). Our current research initiatives are focusing on AI-based quantitative signal processing to generate outputs for diagnostics assessment by clinicians.
Pipelines of clinical data from electronic health records to lab and imaging data and multi-OMICS platforms deliver –after data preparation and processing -significant medical information. To harness meaning from this heterogeneous and highly complex datasets we have created applied deep learning methods that researchers can analyze, deconstruct and train to make them suited to personalized medicine approaches.
Medical robots in rehabilitation, intervention and surgery are a clinical reality. World-leading research in automated robotics and intelligent navigation tools has been translated into the clinic and the market-place through new ventures and commercial partnerships.
Medical images are rich sources of information, playing a central role in medicine today. Their mining through AI technologies holds a great potential. We research and develop transformative AI tools toassist clinicians delivering faster, more accurate and reliable care decisions.
Murtenstrasse 50 3008 Bern
Phone: +41 31 632 75 75 info.caim'at'unibe.ch
