About
Patrick Ruch is a Professor at the Geneva School of Economics and Management (HES-SO), specializing in bioinformatics, text mining, and computational methods for health sciences. He leads research in areas such as machine learning applications in biomedical research, research data management, and natural language processing for scientific literature triage. His work emphasizes improving reproducibility, equity in publishing, and the integration of AI in healthcare. Key affiliations include the SIB Swiss Institute of Bioinformatics and the ArODES initiative.
Research interests focus on leveraging AI to enhance data-driven decision-making in medicine, addressing systemic biases in academic publishing, and developing tools for genomic variant curation. He has collaborated extensively on international projects like BiCIKL and DOME, advancing FAIR data principles and open science practices.
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