8 – 11 September 2024, Karlsruhe, Germany
Members of the consortium of Metrology Partnership project Uncertainty quantification for machine learning models applied to photoplethysmography signals (22HLT01, QUMPHY) are participating in a special session entitled ‘Open questions in open research in cardiovascular data science’ at this conference.
Computing in Cardiology (formerly Computers in Cardiology) is an international scientific conference that has been held annually since 1974. CinC provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.
Attendees present and learn about leading-edge work at the interface of clinical practice, engineering, and basic research during three days of plenary, parallel, and poster sessions. The 400+ papers presented every year at CinC meetings are published in Computing in Cardiology, available freely here.
Programme Please see session S41 for details of the agenda for the special session.
Full details of conference, including registration (Early bird registration deadline 31 July 2024)
Contact email address: cinc2024@lists.kit.edu
The project (22HLT01 QUMPHY) has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States.
Funding for the University of Cambridge was provided by Innovate UK under the Horizon Europe Guarantee Extension, grant number 10091955