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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

BLOG
miRNA clusters predicted to target different regions of SARS-CoV-2. >Read
 
NEWS
Optimal exRNA Isolation via Small RNA Sequencing of Diverse Biofluids. >Read
 
PRESS
HPCwire article features our work on utilizing data at the patient level. >Read
 
NEWS
MINTbase v2. Among the new features, you can now browse TCGA data. >Read
 
EVENTS
Eleonora Leucci, PhD, will give the 1st RNA matters talk of 2019! >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

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