Insigneo Seminar: AI powered multi-modal cardiac data analysis: towards cardiac digital twins

We are pleased to welcome Dr Lei Li, Assistant Professor from the National University of Singapore to give a talk about cardiac digital twins for personalized healthcare on 21 May, 1.00 - 2.00 pm (UK).  

Title

AI Powered Multi-Modal Cardiac Data Analysis: Towards to Cardiac Digital Twins for Personalized Healthcare

 Abstract

Cardiovascular diseases (CVDs), recognized by the WHO as the primary cause of global mortality, require precise understanding of their structure and pathology for precision medicine. Cardiac digital twins (CDTs), also known as virtual heart models, aims to replicate the anatomical and physiological characteristics of an individual heart. Their ability to simulate and predict individualized responses to interventions makes them invaluable tools for advancing precision medicine and improving patient outcomes in cardiovascular care. This talk will delve into how to employ powerful AI models and patient-specific information (cardiac images, ECG, etc), to develop virtual heart models. Dr Lei Li will employ atrial fibrillation and myocardial infarction as examples to explain the design of specific AI models tailored to the characteristics and data intricacies in real world. She will also explain how these techniques can be used in the clinic practice for personalized diagnosis and treatment. 

Biography

Lei Li is an Assistant Professor at the Department of Biomedical Engineering, National University of Singapore (NUS) and PI of Digital Heart Lab (DHlab). Previously, she was a Lecturer at the School of Electronics & Computer Science, University of Southampton. She received her PhD degree from the School of Biomedical Engineering, Shanghai Jiao Tong University in 2021. She is a Board Member of SIG-Cardiac and Women in MICCAI (WiM). She is also a Guest Associate Editor of IEEE TMI and Area Chair of MICCAI 2024 and 2025. She has been selected as the Rising Star of Women in Engineering by Asian Deans’ Forum 2023 and Featured Women in Science by RSIP Vision. She is organizing Internation Workshop on Digital Twin for Healthcare (DT4H) in MICCAI 2025. Her research interest is AI for healthcare, specifically focusing on cardiac digital twins, medical imaging, and multi-modal AI.