Clinical Data Science

This group, led by Pr Jean Louis Raisaro, focuses on the development and application of innovative solutions based on data science and artificial intelligence to improve service delivery, management and planning for clinical healthcare. These solutions integrate and enable the representation of multimodal health data, as well as the anonymization of health data for clinical research and the distribution of analyses for multi-center projects. A set of these solutions apply machine learning algorithms to patient data for predictive purposes to support clinical decision making.

• Fasquelle-Lopez J, Raisaro JL. "An Ontology and Data Converter from RDF to the i2b2 Data Model". Stud Health Technol Inform. 2022 May 25;294:372-376.
• Froelicher D, Troncoso-Pastoriza JR, Raisaro JL, Cuendet MA, Sousa JS, Cho H, Berger B, Fellay J, Hubaux JP. "Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption". Nature communications. 2021 Oct 11;12(1):1-0.
• Gaudet-Blavignac C, Raisaro JL, Touré V, Österle S, Crameri K, Lovis C. “A National, Semantic-Driven, Three-Pillar Strategy to Enable Health Data Secondary Usage Interoperability for Research Within the Swiss Personalized Health Network: Methodological Study”. JMIR Medical Informatics. 2021 Jun 24;9(6):e27591.
• Grishin D†, Raisaro JL†,  Troncoso-Pastoriza JR†, Obbad K, Quinn K, Misbach M, Gollhardt J, Sa J, Fellay J, Church GM, Hubaux JP. "Citizen-centered, auditable and privacy-preserving population genomics”. Nature Computational Science. 2021 Mar;1(3):192-8. († co-first authorship)
• Scheibner J, Raisaro JL, Troncoso-Pastoriza JR, Ienca M, Fellay J, Vayena E, Hubaux JP. “Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis”. Journal of Medical Internet Research. 2021;23(2):e25120.
• Raisaro JL, Marino F, Troncoso-Pastoriza J, Beau-Lejdstrom R, Bellazzi R, Murphy R, Bernstam EV, Wang H, Bucalo M, Chen Y, Gottlieb A. “SCOR: A secure international informatics infrastructure to investigate COVID-19”. Journal of the American Medical Informatics Association. 2020 Nov;27(11):1721-6.

• MedCo : an IT platform for privacy-preserving distributed analyses of health-related data in multi-centric data federations. 
• Synthetic Data : the generation and evaluation of synthetic data for sharing biomedical data in accordance with regulations protecting data privacy.
• AI for Sepsis : the application of artificial intelligence methods to improve the quality of care for patients with sepsis.
• HORUS Privacy : an IT platform for automatic risk-based de-identification of patient data and evaluation of residual re-identification risk.
• Natural Language Processing in Medicine : set of artificial intelligence techniques to extract structured information from clinical free-text documentation.