New Professorship for Medical Data Science
In 2025, Prof. Dr. Dr. Benjamin Ineichen joined the Department of Clinical Research (DCR) as Tenure Professor and established the Medical Data Science (MDS) Unit. Prof. Ineichen brings extensive experience in clinical research and data science. The MDS Unit develops innovative methods to analyze complex clinical and biomedical data, collaborating with clinicians, statisticians, and AI experts to advance precision medicine and improve patient care.
1) Structuring IDSC clinical data for research and clinical support
IDSC data are a rich source for clinical research and decision support, but large parts are unstructured, which limits reuse. We have started a collaboration with IDSC to curate these data and define clinical core outcome sets. The goal is to enable structured search, improved data curation, and a foundation for real-world data analyses. This work involves close collaboration with IDSC, including Prof. Lars Hemkens and Prof. Eva Segelov.
2) Understanding drug translation from animals to human regulatory approval
Drug development from animal studies to human use and regulatory approval is inefficient, and the determinants of successful approval are poorly understood. A PhD student in the STRIDE lab (Simona Doneva) has developed an AI-based interface, including LLMs, to mine and link drug development evidence from animal studies to clinical trials, with a focus on neuroscience. This provides a foundation for identifying patterns associated with drug failure versus regulatory approval.
Link: https://sed-stride-lab.shinyapps.io/a2h-explorer/
To the Medical Data Science DCR website