The first edition of this Precision Health Day will focus on applied research for precision health, a holistic approach aimed at developing proactive and personalized solutions to health problems by integrating interindividual variability into behavioral, environmental, and genetic determinants of health. This approach is based on preventive, prognostic, diagnostic, and therapeutic applications in the following areas:
The program will feature keynotes and research presentations from a selection of submitted abstracts (call for abstracts). The presentations will be held in Italian or English and will also be available remotely.
For this first edition of this Precision Health Day, we are inviting submissions of abstracts describing applied research for precision health, including preventive, prognostic, diagnostic, and therapeutic applications in the following areas:
Abstracts must be submitted exclusively online (submission link) and must be received by December 18, 2024.
Abstract topics should correspond to the event focus areas mentioned above. Abstracts must be submitted in English, should not exceed 2 pages (references included), and must report new or recent substantive research in the topics listed above.
Submitted abstracts can be considered for oral presentations (10 minutes, followed by a 5-minute discussion) or for poster presentation, as selected by the event scientific committee.
Accepted abstracts will be listed on the event website (authors and title, in the programme) and shared (complete abstracts) with all participants. All presenters must register for the event. The presentation of the selected abstracts will be possible in English or in Italian.
The detailed program will be published in January 2025, with a final version published one month before the conference.
Prof. Mihaela van der Schaar, PhD, FRS, is the John Humphrey Plummer Professor of Machine Learning, AI, and Medicine at the University of Cambridge, where she is director of the Cambridge Centre for AI in Medicine (CCAIM), and a Chancellor's Professor of Electrical and Computer Engineering at the University of California, Los Angeles.
Her research involves topics in signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning, and AI. Van der Schaar focuses on medical applications of computer engineering, including AI-enabled personalized medicine. She was elected IEEE Fellow in 2009 and Fellow of the Royal Society in 2024. She was a Turing Fellow at The Alan Turing Institute in London between 2016 and 2024. Van der Schaar has received numerous awards and is personally credited as inventor on 35 U.S. patents, and made over 45 contributions to international standards for which she received 3 ISO Awards. In 2019, a Nesta report determined that Van der Schaar was the most-cited female AI researcher in the U.K.
Chief of Medical Education and Research, General Directorate EOC; Chief Physician and Medical and Scientific Director Institute of Pharmacological Sciences of Southern Switzerland; Professor of Clinical pharmacology and toxicology, Università della Svizzera Italiana (USI); Consultant, Dept. Clinical Pharmacology and Toxicology University Hospital Zurich and Senior Lecturer University of Zurich.
Prof. Dr. Gian Luca di Tanna, PhD (Co-chair)
Professor of biostatistics and health economics, Head of research, Department of business economics, health and social care (DEASS), University of Applied Sciences and Arts of Southern Switzerland (SUPSI); Visiting Professorial Fellow, School of Population Health, UNSW Medicine, University of New South Wales (Australia).
Registration is required by filling out the proper form.
The event will be held in Italian and English. Further information and updates will be published on this page in the coming weeks.
For questions about the event and sponsorship opportunities, contact meditech@supsi.ch.
The event is recognized by the FMH for a total of 7 credits (as part of extended continuing education across all disciplines). Those interested in the certificate of attendance can request it during the event registration process.
Department of Innovative Technologies
Options close to the conference venue (≤ 15 minutes walk):
Additional options are available on the LuganoRegion website, as well as on dedicated platforms (e.g., Booking, Airbnb).
