Our group, led by Prof. Jean Louis Raisaro, assistant Professor at the Faculty of Biology and Medicine of the University of Lausanne, develops and translates innovative AI and data science solutions to improve clinical care and enable multicenter research. We work across trustworthy AI methods, including privacy-preserving approaches such as differential privacy and synthetic data generation, clinical Large Language Models (LLM) and agentic systems, as well as multimodal foundation models that integrate clinical data from electronic health records, including clinical text, structured variables, and time-series signals.
We combine reproducible methods research with applied clinical projects, and we develop platforms that accelerate safe, ethical, and regulatory-ready AI deployment. These include CHORUS, a secure processing environment enabling compliant access to CHUV biomedical data and clinical AI development, and an Agentic AI platform supporting human-in-the-loop AI-assisted workflows. Several of our solutions are currently being implemented at CHUV, with measurable impact on patient outcomes, efficiency, and hospital costs. Recent achievements include an AI-enabled Sepsis Learning Health System and Meditron-CHUV, an open-source medical LLM fine-tuned on more than 12,000 clinician preference annotations from over 250 CHUV clinicians.
Senior data scientist
Senior data scientist
Senior software engineer
Senior software engineer
Junior software engineer
Data scientist
PhD student
Senior software engineer
PhD student
CHORUS, a secure virtual research platform developed at CHUV, enables reliable sharing of biomedical data and collaboration among research teams. By combining advanced encryption with rigorous authentication protocols, CHORUS promotes biomedical innovation while protecting sensitive patient information.
We develop a decision-support system based on a medical language model, capable of processing commonly available information and providing recommendations to emergency department clinicians, with the goal of reducing low-value care.
This project aims to promote the responsible use of synthetic data in health research and innovation. It addresses challenges related to data confidentiality and complexity through innovative techniques for generating multimodal and longitudinal datasets. The open platform SYNTHIA will provide validated synthetic data and tools to advance research without compromising patient confidentiality.
We have developed Meditron-CHUV, an open-source medical Large Language Model, fine-tuned on more than 12,000 clinician preference annotations from over 250 CHUV clinicians. We introduce a clinician-centric framework that positions human expert participation as a central pillar of LLM development and evaluation, establishing a feedback-loop system where expert evaluations simultaneously assess model performance and generate high-quality alignment data for model optimization.
Despraz J, Matusiak R, Nektarijevic S, Rossetti V, Bastardot F, Akrour R, Konasch A, Gauthiez E, Pignolet O, Pepe S, Chiche JD, Kaufmann DE, Calandra T, Raisaro JL, Meylan S, CHUV Sepsis consortium
NPJ Digit Med
Conticchio M, Pescol F, Hubner M, Uldry E, Leroy G, Denys A, Raisaro JL, Fuks D
HPB (Oxford)
Meurers T, Otte K, Abu Attieh H, Briki F, Despraz J, Halilovic M, Kaabachi B, Milicevic V, Müller A, Papapostolou G, Wirth FN, Raisaro JL, Prasser F
NPJ Digit Med
Conticchio M, Uldry É, Melloul E, Hubner M, Edjlali M, Bibault JE, Beloucif S, Raisaro JL, Fuks D
Rev Med Suisse
Conticchio M, Uldry E, Hübner M, Digklia A, Fraga M, Sempoux C, Raisaro JL, Fuks D
Cancers (Basel)
Deslarzes P, Xu HA, Raisaro JL, Hübner M, Grass F
Diagnostics (Basel)
Pilgram L, Dankar FK, Drechsler J, Elliot M, Domingo-Ferrer J, Francis P, Kantarcioglu M, Kong L, Malin B, Muralidhar K, Myles P, Prasser F, Raisaro JL, Yan C, El Emam K
Patterns (N Y)
Meurers T, Halilovic M, Otte K, Despraz J, Kaabachi B, Kulynych B, Raisaro JL, Prasser F
Comput Biol Med
Meurers T, Otte K, Abu Attieh H, Briki F, Halilovic M, Kaabachi B, Milicevic V, Müller A, Raisaro JL, Prasser F
Stud Health Technol Inform
Kaabachi B, Despraz J, Meurers T, Otte K, Halilovic M, Kulynych B, Prasser F, Raisaro JL
NPJ Digit Med
Saadat A, Fellay J
Comput Struct Biotechnol J
Despraz J, Nektarijević S, Vancauwenberghe L, Cito P, Milosavljevic S, Perrin S, Pouzols S, Riba Grognuz O, Mabire C, Raisaro JL
Stud Health Technol Inform
Xu HA, Loftsson V, Kulynych B, Kaabachi B, Raisaro JL
Stud Health Technol Inform
Wahler N, Kaabachi B, Kulynych B, Despraz J, Simon C, Raisaro JL
Stud Health Technol Inform
Kaabachi B, Briki F, Kulynych B, Despraz J, Raisaro JL
Stud Health Technol Inform
Blatter TU, Witte H, Fasquelle-Lopez J, Nakas CT, Raisaro JL, Leichtle AB
J Med Internet Res
Touré V, Krauss P, Gnodtke K, Buchhorn J, Unni D, Horki P, Raisaro JL, Kalt K, Teixeira D, Crameri K, Österle S
Sci Data
Xu HA, Maccari B, Guillain H, Herzen J, Agri F, Raisaro JL
JMIR Med Inform
Pouzols S, Despraz J, Mabire C, Raisaro JL
Comput Inform Nurs
Scheibner J, Raisaro JL, Troncoso-Pastoriza JR, Ienca M, Fellay J, Vayena E, Hubaux JP
J Med Internet Res
Grishin D, Raisaro JL, Troncoso-Pastoriza JR, Obbad K, Quinn K, Misbach M, Gollhardt J, Sa J, Fellay J, Church GM, Hubaux JP
Nat Comput Sci
Gaudet-Blavignac C, Raisaro JL, Touré V, Österle S, Crameri K, Lovis C
JMIR Med Inform
Froelicher D, Troncoso-Pastoriza JR, Raisaro JL, Cuendet MA, Sousa JS, Cho H, Berger B, Fellay J, Hubaux JP
Nat Commun
