CSI Lab.

Research Highlights

Computational medicine is an interdisciplinary field that uses mathematical models, computer simulations, and machine learning techniques to advance our understanding of human biology and disease. Join our CSI Lab to explore innovative computational medicine projects in the following domains:

• Development of new predictive models for disease risk and drug response, incorporating data from genomic, proteomic, imaging, and clinical sources.
• Design and implementation of new algorithms for the analysis of large-scale medical data, including electronic health records (EHRs), imaging data, and genomics data.
• Creation of platforms for the integration and analysis of data from wearable devices, such as fitness trackers, and the development of new algorithms for the prediction of disease risk and treatment response.
• Development of new tools for the analysis of single-cell data, including single-cell sequencing, transcriptomics, and epigenomics, to advance our understanding of cellular heterogeneity and its role in disease.
• Investigation of the role of genomic and epigenetic changes in disease and the identification of new therapeutic targets.
• Design and implementation of new methods for the analysis of imaging data, including machine learning-based image analysis, image-guided therapy planning, and image-based drug discovery.
• Development of new models and algorithms for the simulation and prediction of physiological processes, including cardiovascular, respiratory, and neural systems, to advance our understanding of disease mechanisms and to facilitate the development of new treatments.

At the CSI Lab, we build computer simulations and data analysis to improve our understanding of human physiology and disease, and to develop new treatments and diagnostic tools. Join us to contribute to important advances in the life sciences and medicine, and to impact human health and well-being.