Heart 360° – Harnessing AI for Cardiovascular Research, Diagnosis, Therapy & Prevention

December 9, 09:00 – 16:30
Registration

Organizer

SciLifeLab Gothenburg
gothenburg@scilifelab.se
View Organizer Website

Venue

  • Conference Centre Wallenberg
  • Medicinaregatan 20A
    Gothenburg, 413 90 Sweden

Heart 360° – Harnessing AI for Cardiovascular Research, Diagnosis, Therapy & Prevention

December 9, 2026 @ 09:00 – 16:30 CET

Join us for an inspiring day at the forefront of cardiovascular research, where AI helps to advance precision medicine.

Heart 360° is a focused seminar exploring the transformative role of artificial intelligence (AI) across the cardiovascular disease spectrum, from early discovery to prevention. As cardiovascular disease remains a leading global health burden, the integration of AI into research, clinical care, drug development, and public health offers new opportunities to enhance understanding, precision, and outcomes.

The seminar is structured into four sessions: Discovery, Diagnosis, Drug Development, and Prevention, bringing together experts from academia, healthcare, and industry. Each session will highlight how AI-driven tools are reshaping translational research, enabling earlier and more accurate diagnoses, accelerating therapeutic innovation, and supporting data-driven prevention strategies.

By fostering interdisciplinary dialogue, Heart 360° aims to showcase cutting-edge applications of AI, identify key challenges, and inspire collaborative efforts to drive the future of cardiovascular science and care.

Registration

Registration deadline: 11 November

Confirmed speakers

Søren Brunak
University of Copenhagen

Charlotta Ljungman
Sahlgrenska University Hospital

Araz Rawshani
Sahlgrenska University Hospital

Call for Presentations!

Are you a PhD student, postdoc, or working at a start-up company in the field of AI and cardiovascular disease (CVD) research?

Showcase your work in a short talk or poster! Simply indicate your preference in the registration form.

Agenda

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Organized by

Muhammad Arif, DDLS Fellow, Computational Multi-Omics Lab, University of Gothenburg

Sponsors

Medicinaregatan 20A
Gothenburg, 413 90 Sweden

Last updated: 2026-10-23

Content Responsible: Maria Smedh(maria.smedh@gu.se)