Reimagining Possible
Computational Medicine
is an emerging multidisciplinary field of science. Its goal is to develop quantitative methods, both analytical and experimental, and use them to gain new insights about how diseases begin and progress. From discovering previously unsuspected molecular culprits to designing novel classes of disease biomarkers and potential therapies, our team is using cutting-edge approaches to help improve health.
Learn more about the main themes of our work
We are making discoveries that help explain how a person’s sex, population origin, race/ethnicity, age, and the environment lead to differences in disease onset and disease progression. >Explore
Health Disparities
We apply our discoveries to improving our understanding of breast cancer, pancreatic cancer, lung cancer, asthma, glaucoma, and more. >Explore
Disease Research
We discovered numerous novel molecules (primate-specific miRNAs, isomiRs, tRNA-derived fragments, piRNAs, pyknons) and have been studying their roles in health and disease. >Explore
Novel Molecules
We design and use advanced computational tools that allow us to analyze very large data repositories and help accelerate breakthroughs. >Explore
Big Data
Highlights
View all news | blog | events | press coverage
NEWS
Phillipe Loher receives President’s Award for Trailblazing in AI and Machine Learning. >Read
NEWS
5′-tRNA Half Molecules Providing Insights on TLR7 Activation. >Read
PRESS
Nexus features our work on Y RNA fragments (yRFs) in the platelets of COVID patients. >Read
NEWS
Novel ribsomal RNA (rRNA) derived molecule that can combat tuberculosis infection. >Read
NEWS
MINRbase: database for ribosomal RNA-derived fragments (rRFs) >Read
“Our Center’s mission is to combine cutting-edge technology with innovative approaches and the unlimited power of Big Data to redraw scientific boundaries, generate new knowledge, and improve lives.” Isidore Rigoutsos Director, Computational Medicine Center
