Evidence-based Drug Development

We use data science and systematic reviews to study how drugs transition from animal research to human use and regulatory approval. By identifying patterns and gaps, we aim to make drug development more efficient and ethical. To streamline this process, we leverage large language models to automate systematic reviews, enabling faster and more reliable analysis of scientific data for evidence-based decision-making.

Head: B. Ineichen (E-Mail)