GeMAIHc 2027
1st International School on Generative & Multimodal AI for Healthcare.
Category: Seminar / Conference
Location: Human Technopole & MIND - Milano Innovation District - In presence
Registration Deadline: 28/01/2027
Date: 01/02/2027 - 05/02/2027
Fee: 340€ - 670€
Target Audience: PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health.
AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare.
GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives.
This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon.
Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible.
Organising Committee
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Michela Carlotta Massi
Staff Scientist, HT -
Jan Funke
Senior Research Group Leader, HT -
Francesca Ieva
Associate Head of Health Data Science Research Centre, HT -
Ilaria Guerini
Scientific Training Coordinator, HT -
Carlos Martín-Vide
Programme Chair, IRDTA - Institute for Research Development, Training and Advice -
Santiago Montes
IRDTA - Institute for Research Development, Training and Advice -
Sara Morales
IRDTA - Institute for Research Development, Training and Advice -
David Silva
IRDTA - Institute for Research Development, Training and Advice