News & Updates

Douglas Teodoro, Assistant Professor in the Department of Radiology and Medical Informatics at the Faculty of Medicine, and Caroline Samer, Associate Professor and Director of the Department of Anaesthesiology, Pharmacology, Intensive Care and Emergency Medicine at the Faculty of Medicine and Head of the Division of Clinical Pharmacology and Toxicology at the HUG, will lead two major parts of the European project AIM-SAFE, which brings together a consortium of 25 institutions across 14 countries. The project aims to develop AI-powered clinical decision support tools based on generative artificial intelligence to improve the safety of drug treatments — particularly for patients on multiple medications and in oncology. Funded under the European GenAI4EU programme, which seeks to foster "Made in Europe" generative AI projects, the total budget amounts to €16.7 million, of which €1.73 million is allocated to the Geneva teams.

Designed for direct deployment in hospital settings, AIM-SAFE relies on several specialised AI agents capable of analysing complex biomedical data to predict adverse drug events, identify deprescribing opportunities, integrate pharmacogenomics into therapeutic decision-making, and optimise dosing regimens. The project was initiated and structured by the Data Science for Digital Health (DS4DH) group, led by Douglas Teodoro, a specialist in artificial intelligence applied to health. He will lead the development of personalised predictive models for prescribers and clinical pharmacologists. Caroline Samer, a specialist in pharmacogenomics, will lead alongside Dr Aurélien Simona, a senior clinician at the HUG, the clinical validation of the system across European hospitals — the critical step to test these tools under real-world conditions.

By fostering more personalised and safer medicine, AIM-SAFE could help reduce adverse drug events, improve the quality of care and lower healthcare costs. The project also aims to develop a reliable, explainable and privacy-preserving European medical AI, fully compliant with European regulations (GDPR, AI Act, European Health Data Space).

DS4DH is happy to share that the kick-off meeting for the project "Automating the triage of incident reports to the WHO’s GSMS platform using Machine Learning" took place on 13 January 2026, together with the World Health Organization (WHO). The project aims to support incident management in the WHO Global Surveillance and Monitoring System (GSMS) by using machine learning to help prioritize incident reports for faster review.

We are excited to announce the launch of CT-DEB’26, an open challenge hosted on CodaBench. This is an invitation to the ML and healthcare communities to develop predictive models for medication and dosing error risk in interventional clinical studies.

We are thrilled to announce that DS4DH Joined "Le Pôle IA est le pôle genevois d’innovation en intelligence artificielle appliquée aux soins, à la santé et aux neurotechnologies" located at Campus Biotech.