Computational Biology News

Working with researchers in Spain and Germany, Hickey and his collaborators aim to understand how cytokines, growth factors and other small, soluble molecules, can direct cell behavior and influence how cells organize to form tissues and organs.

A team of Duke researchers led by Svati H. Shah, MD, MS, Ursula Geller Distinguished Professor of Research in Cardiovascular Diseases, and Neha Pagidipati, MD, MPH, associate professor of medicine, have developed a model using the Project Baseline Health Study (PBHS) for how to effectively communicate results to patients and help empower them towards their health and medical choices.

Cymfenee Dean-Phifer, a student in the Computational Biology and Bioinformatics program, received a scholarship to attend the Bruce Weir Summer Institute in Statistical Genetics at Georgia Tech.  

This summer institute was founded in 1995 and is open to all students, post-docs, instructors, industry, and government employees who wish to learn about aspects of statistical and quantitative genetics from leading researchers. Dean-Phifer will be taking modules on genetics and genomics, quantitative genetics, and epigenetics and gene regulation.

Computational biology and bioinformatics faculty member Gregory Crawford, PhD, has been named the Wilburt C Davison Distinguished Professor of Pediatrics.

CBB Director of Graduate Studies David Carlson, PhD, named 2025 Bass Chair.

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An AI tool that redesigns proteins is just one of Rohit Singh’s inventions intended to accelerate drug discovery.

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After outreach from the parent of a child with a rare neurodegenerative disease, Pranam Chatterjee, PhD, is closing in on the causes, and the findings may also have implications for Alzheimer’s disease.

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CBB Student Ben Neubert is a finalist at the Duke's Startup Showcase 2025 on April 10, 2025, at the Fuqua School of Business. Duke I&E's premier event celebrates student entrepreneurship. Ben's project is titled Toilemetry. Toilemetry is an NIH-funded medical technology venture developing a smart toilet that automates urine output tracking in hospitals, providing real-time, accurate data to improve patient outcomes and streamline workflows.  

An artificial intelligence model developed by Duke Health researchers accurately predicted when adolescents were at high risk for future serious mental health issues before symptoms became severe.

A 4th year student in the Shah lab, Kottilil has secured a 2 year NIH F31 grant to support her PhD studies. The purpose of the grant is to support promising predoctoral students in developing into productive, independent research scientists by providing mentored research training during their dissertation research.