Precision Health Day 2026 - AI Enabled

SUPSI Article Header

March 27th, 2026
from 8:30 to 18:00

Lugano, East Campus, Multipurpose Room

A dedicated meeting for experts from academia, industry, and institutions to share knowledge and experiences, and to foster new collaborations in the field of precision health.

The second edition of the Precision Health Day will highlight the role of Artificial Intelligence (AI) as a driving force for innovation in precision health.

The event will explore how AI can support and promote a holistic approach to care — one that integrates interindividual variability related to behavioral, environmental, and genetic factors, with the goal of developing proactive, personalized, and patient-centered healthcare solutions.

Central to this approach is the application of AI across various domains of prevention, prognosis, diagnosis, and therapy, with advances in:
  • Data science and machine learning for clinical decision support
  • AI-powered medical devices and robotics
  • Intelligent biomedical sensors and advanced signal processing
  • Automated analysis of medical images
  • AI-based bioinformatics for genomic and molecular profiling
  • Telemedicine and ubiquitous healthcare solutions leveraging predictive algorithms
The program includes plenary sessions with keynote speakers, round tables, and presentations of selected research works chosen from submitted abstracts. Presentations will be held in Italian or English and will also be available online.

The Swiss healthcare system, like those of most European countries, is facing increasingly complex challenges that threaten its long-term sustainability: rising healthcare costs, demographic changes, the growing prevalence of chronic diseases, and a shortage of professionals in the sector.

These factors exert significant pressure on both financial and human resources, making systemic reforms and a rethinking of care models essential. This requires a transition from the current hospital-centered approach to the strengthening of community-based care models, emphasizing the use of digital solutions and placing greater focus on preventive strategies.

Within this context, the Health2030 strategy, promoted by the Swiss Confederation, aims to strengthen coordinated outpatient care, accelerate the digital transformation of healthcare, and reinforce prevention as a cornerstone of public health.


Against this backdrop, advances in artificial intelligence technologies and the growing availability of large-scale data from genetic, environmental, behavioral, and lifestyle sources represent strategic drivers for developing new approaches capable of addressing current and future healthcare challenges.

SUPSI Image Focus

Caption test

To attend the conference, please register using the online form.

The event is accredited by the FMH with a total of 8 credits, valid as part of extended continuing education across all disciplines. Participants who wish to receive a certificate of attendance may request it at the event’s welcome desk.

SUPSI Image Focus

The Call for Abstracts has been extended: proposals may be submitted until 12 Januray 2026.

  • 24 October 2025

    Call for Abstract Opening

  • 4 February 2026

    Notification of abstract acceptance and opening of conference registration

  • 12 Januray 2026

    Call for Abstract Deadline

  • 28 February 2026

    Early registration deadline and mandatory registration deadline for authors

  • 27 January 2026

    Registration Opening

  • 27 March 2026

    Conference

Preliminary program

  • 8:30 - 9:00

    Registration and welcome

  • 12:15 - 13:15

    Lunch break and poster session

  • 9:00 - 9:15

    Opening

  • 13:15 - 15:00

    Presentations

  • 9:15 - 10:15

    Keynote speech

  • 15:00 - 15:30

    Coffee break and poster session

  • 10:15 - 10:45

    Coffee break and poster session

  • 15:30 - 17:00

    Presentations

  • 10:45 - 12:15

    Presentations

  • 17:00 - 18:00 

    Closing remarks and apero

Prof. Stavroula Mougiakakou

SUPSI Image Focus

Prof. Stavroula Mougiakakou leads the Artificial Intelligence in Health and Nutrition (AIHN) Laboratory at the University of Bern, where a broad spectrum of artificial intelligence (AI) methods and their transformative applications in nutrition and health are explored. The lab’s mission is to develop innovative Al-powered solutions that turn data into meaningful, actionable insights and bridge the gap between advanced technology and real-world impact.
Stavroula Mougiakakou is an Associate Professor and holds a PhD in electrical and computer engineering from the National Technical University of Athens (Greece). Since 2008, she has been affiliated with the Faculty of Medicine, University of Bern and leads the AI in Health and Nutrition laboratory (formerly Diabetes Technology Research Group) at the ARTORG Center for Biomedical Engineering Research Bern, Switzerland. Her research focuses on AI and machine learning for health and nutrition with the aim of advancing personalized diagnosis, prognosis, and treatment. She has coordinated and contributed in numerous interdisciplinary national, European and international R&D projects at the intersection of medicine, nutrition, and digital health. Her work has resulted in more than 130 papers in peer-reviewed journals, book chapters, and conference proceedings, as well as several patents and successful technology transfer activities. She is also co-director of the MSc in Artificial Intelligence in Medicine (AIM) at the University of Bern. To date, she has supervised over 15 PhD students, 8 postdoctoral fellows, and numerous MSc projects, supporting the development of the next generation of researchers and innovators in AI and healthcare.

SUPSI Image Focus

Caption test

SUPSI Image Focus

 2025 Edition

SUPSI Image Focus

2025 Edition - Prof. Mihaela van der Schaar, Keynote Speaker

SUPSI Image Focus

2025 Edition

SUPSI Image Focus

Associazione assistenza e cura a domicilio del Mendrisiotto e Basso Ceresio
Discover more

SUPSI Image Focus

Powered by Innosuisse Inno Booster AI
Discover more

SUPSI Image Focus

Caption test
Prof. Alessandro Ceschi, MD, MSc (Co-chair)

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).

SUPSI Image Focus

Caption test

The event will be held in Italian and English. Registration via the dedicated form is required.

For questions about the event and sponsorship opportunities, contact meditech@supsi.ch.

The event is accredited by the FMH with a total of 8 credits, valid as part of extended continuing education across all disciplines. Participants who wish to receive a certificate of attendance may request it at the event’s welcome desk.

Lugano, East Campus

SUPSI Image Focus

The event will be take place at the Department of Innovative Technologies of SUPSI (Multipurpose Room - Sector A, ground floor).
How to reach us

Visualizzatore contatto

Institute of Digital Technologies for Personalized Healthcare

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).

SUPSI Image Focus

Caption test

SUPSI Image Focus

Caption test

Mappa contatti

Hidden Widget