curATime: Cluster for Atherothrombosis and Individualized Medicine
- Duration: 01.03.2023 - 28.02.2026
Funding Organization: Bundesministerium für Bildung und Forschung (BMBF)
Prof. Dr. Sebastian Vollmer
University of Kaiserslautern-Landau
curATime is a collaborative, multi-centre effort applying AI methods to high-dimensional biomedical data to promote an understanding of biological processes associated with cardiovascular illness.
This exciting project involves highly granular data collected as part of the Gutenberg Health Study — a prospective cohort study of a representative sample (N=15,000) of the population of Mainz — including genotyping, DNA methylation, transcriptomics, proteomics and extensive time-varying clinical information.
Our primary goal is to understand processes behind cardiac events, including atherosclerosis and atherothrombosis. This depends upon a comprehensive characterization of clinical samples, to decipher complex pathophysiological mechanisms in different disease settings. Hence the task—at the confluence of modern biomedical research and artificial intelligence—will exploit multi-dimensional datasets of protein, lipid and metabolite levels, together with bioinformatics workflows, machine learning and multi-omics data integration.
https://curatime.org/en
AI Focus Areas of the Research Project
Basic Research
- Machine Learning (ML): Representation Learning, Transfer Learning, Domain Adaptation, Artificial Neural Network (ANN)
- Knowledge-Based Systems: Reasoning