GeMAIHc 2027: early registration August 5

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1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE
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GeMAIHc 2027
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Milan, Italy
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February 1-5, 2027
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https://gemaihc.irdta.eu/2027/
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Co-organized by:
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Human Technopole
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IRDTA =E2=80=93 Institute for Research Development, Training and Advice
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Early registration: August 5, 2026
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SCOPE
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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 analy=
sis, as well as evaluation, robustness, validation, ethical considerations,=
 and regulatory aspects of AI systems in healthcare.
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GeMAIHc 2027 aims to become a leading international forum at the intersecti=
on of generative AI, multimodal learning, and healthcare innovation. The pr=
ogram will emphasize both methodological foundations and real-world clinica=
l applications, combining theoretical insights with practical perspectives.=
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This interdisciplinary event will feature 18 monographic three-hour courses=
, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on acti=
vities with a hackathon.
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Leading academics and industry pioneers will share their expertise and pers=
pectives with attendees. In-person interaction and networking will be centr=
al components of the event, while full remote participation will also be po=
ssible.
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ADDRESSED TO
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The program is open to PhD students and postdoctoral researchers in AI, dat=
a science, and biomedical disciplines, clinicians and healthcare profession=
als, industry practitioners and innovators, and policymakers and stakeholde=
rs in digital health. There are no formal academic prerequisites for partic=
ipation. Researchers and professionals at all career stages are welcome.
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An international audience is expected, with backgrounds spanning computer s=
cience, medicine, engineering, mathematics, statistics, physics, and the so=
cial sciences.
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GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of =
a rapidly evolving field, to interact with experts across disciplines, to e=
stablish collaborations and expand professional networks, and to explore ho=
w AI is reshaping the future of healthcare.
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VENUE
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GeMAIHc 2027 will take place in Milan, one of Europe=E2=80=99s leading inte=
rnational centers for science, industry, fashion, and finance.
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The venue will be:
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Human Technopole
Viale Rita Levi-Montalcini, 1
20157 Milan, Italy
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https://humantechnopole.it/en/
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STRUCTURE
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Three parallel courses will run throughout the event. Participants will be =
free to choose the sessions they wish to attend and may move between course=
s at any time.
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A symposium will offer participants and companies the opportunity to presen=
t ongoing research or industrial developments through 10-minute oral presen=
tations.
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The school will include a hackathon, during which participants will work in=
 teams to tackle challenges in generative and multimodal AI for healthcare.
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All lectures will be video recorded and made available to participants for =
45 days after the event.
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Full live online participation will be possible. Nevertheless, the organize=
rs emphasize the importance of in-person interaction and networking in rese=
arch training events of this kind.
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KEYNOTE SPEAKERS
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Deborah Estrin (Cornell University), Transforming Longitudinal Care with Di=
gital Biomarkers and Therapeutics
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Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons =
from Epidemiology and Genomics
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PROFESSORS AND COURSES (list to be completed)
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Pierre Baldi (University of California Irvine), [introductory/advanced] The=
 AI-driven Healthcare of the Future
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Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtua=
l Patient Populations for In Silico Trials Using Generative AI Based on Mul=
timodal Real-World Data
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Charles Friedman (University of Michigan), [introductory] Synergizing AI an=
d Learning Health Systems to Transform Health
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Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination=
 in a Hands on Lab for Harmonizing Radiology Datasets
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Maryellen Giger (University of Chicago), [introductory/intermediate] Role o=
f Data & Algorithms in Trustworthy Medical Imaging AI
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Casey Greene (University of Colorado), [introductory/advanced] Translating =
Generative AI into Healthcare from Pharmacogenomics to Foundation Models
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Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The =
AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Impleme=
ntation
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Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced]=
 Advanced Computing for Biomedical Research and Discovery
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Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward D=
igital Twins: Multimodal AI for Imaging and Precision Medicine
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Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethi=
cal and Scientific Challenges to Unlocking the Clinical Value of Artificial=
 Intelligence
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Tom Pollard (Massachusetts Institute of Technology), tba
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Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI fo=
r Accelerating Medical Discovery
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Jian Tang (Mila-Qu=C3=A9bec AI Institute), [introductory/advanced] Generati=
ve AI for Protein Design
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Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI fo=
r Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainabilit=
y
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Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/int=
ermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research=
 and Discovery
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Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Re=
presentations in Health Digital Twinning: From Features to Foundation Model=
s
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SYMPOSIUM
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A symposium will feature voluntary 10-minute oral presentations on ongoing =
research projects and industrial developments.
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Participants interested in presenting should submit a one-page abstract inc=
luding title, authors, and summary to [email protected] by January 8, 2027.
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HANDS-ON ACTIVITIES
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Hands-on team activities will be organized around challenges in generative =
and multimodal AI for healthcare. The challenges will be released two weeks=
 before the beginning of the school. A jury will evaluate the submissions, =
and the winners will be announced at the end of February 2027. Winning team=
s will receive a modest monetary prize, while runners-up will receive certi=
ficates of recognition.
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ORGANIZING COMMITTEE
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Jan Funke (Milan)
Ilaria Guerini (Milan)
Francesca Ieva (Milan)
Carlos Mart=C3=ADn-Vide (Tarragona, program chair)
Michela Carlotta Massi (Milan, local chair)
Santiago Montes (Tarragona, webpage)
Sara Morales (Luxembourg, finances)
David Silva (London, organization chair)
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REGISTRATION
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Registration is available at:
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https://gemaihc.irdta.eu/2027/registration/
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The selection of six courses requested during registration is tentative and=
 non-binding. This information will help estimate demand for logistical pla=
nning purposes.
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As venue capacity is limited, registrations will be processed on a first-co=
me, first-served basis. Registration will close once capacity has been reac=
hed. Early registration is strongly recommended.
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FEES
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Registration fees include access to all school activities and lunches.
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Several early registration deadlines are available, and fees vary depending=
 on the registration period.
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Fees are identical for on-site and online participation.
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ACCOMMODATION
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Accommodation suggestions will be provided in due time at:
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https://gemaihc.irdta.eu/2027/accommodation/
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CERTIFICATE
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Participants will receive a certificate indicating 40 hours of academic act=
ivities. This certificate should be suitable for participants seeking ECTS =
recognition from their home institutions.
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SPONSORS
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Companies, institutions, and organizations interested in sponsoring the eve=
nt may download the sponsorship leaflet from:
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https://gemaihc.irdta.eu/2027/sponsors/
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QUESTIONS AND FURTHER INFORMATION
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[email protected]
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ACKNOWLEDGMENTS
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Human Technopole
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Universitat Rovira i Virgili
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IRDTA =E2=80=93 Institute for Research Development, Training and Advice

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