This is a hybrid event. Join in person at the LCSB, or tune in remotely via Webex.
Cardiovascular Systems Medicine: Transforming big multi-modal data into clinically relevant findings
In this talk, Dr Fátima Sánchez-Cabo will present current research in cardiovascular data science, focusing on the integration of omics and epidemiological data through causal inference techniques. This integration aims to unravel complex biological mechanisms underlying cardiovascular disease (CVD) and improve predictive models. One of the pioneering aspects of her research is the creation of digital twins for CVD, which are virtual representations of patients that enable personalised and accurate disease modelling. By using large human cohorts, this approach promises to advance our understanding of CVD, facilitate the development of tailored therapeutic strategies and improve patient outcomes. Participants will gain insights into the methods used, the challenges encountered and the potential future applications of this innovative research in the broader context of cardiovascular health.
About the speaker
Dr Fátima Sánchez Cabo graduated in Mathematics from the Complutense University of Madrid in 2000. From there she moved to the University of Manchester where she obtained a grant from the BBSRC to develop her doctoral work on statistical analysis and mathematical data modeling of microarrays. In 2005 she joined the Institute of Genomics and Bioinformatics of the Polytechnic University of Graz, Austria, where she developed her work first as a postdoctoral researcher and later as an associate professor. Since 2008 she has been working at the CNIC, leading the Bioinformatics Unit since 2017. Dr. Sánchez-Cabo has published more than 75 articles in peer-reviewed journals and is especially interested in the development of methods and tools that allow a better understanding of biological systems in the context of cardiovascular disease. Likewise, she has a strong commitment to the training of researchers in areas related to bioinformatics. Since 2021 is associate professor of the Autonoma University in Madrid.
The Causal Analysis of Biomedical Data Lecture Series is supported by the Luxembourg National Research Fund (FNR) RESCOM Program.
