Biostatistics & Bioinformatics News

Does Ed Hammond, PhD, process oxygen twice as fast as the average man? It’s as good as any other explanation for how the esteemed biomedical informatician climbed Mt.

It took until he was 20 years old before Samuel Ndukwe first saw a physician who looked like him. Recognizing that representation matters, the second-year Duke medical student is now doing all he can to make sure young Black men see themselves represented in the medical field much earlier than he did.

Nicoleta J. Economou-Zavlanos, PhD, has been named director of the newly established Duke Health AI Evaluation & Governance Program. She will be charged with driving the trustworthy, responsible, and equitable integration of AI in health care.

The Web of Science ranking of the world’s most highly-cited scientists was released recently. These are the authors of influential papers that other scientists point to when making their arguments.

Human genetics research is highly collaborative, relying on scientists with diverse expertise and experience from around the country working together to understand how the human genome works.

David Carlson, PhD, has assumed the role of director of graduate studies for the PhD Program in Computational Biology and Bioinformatics.

A large-scale clinical trial led by Duke School of Medicine and Vanderbilt showed the asthma medication montelukast fails to cut COVID-19 recovery time. While several antiviral drugs have shown promise, there is still a need for more options, especially for people with mild to moderate cases.

The Department of Biostatistics and Bioinformatics is pleased to announce that Roland Matsouaka, PhD, has been appointed the Associate Chair for Equity, Diversity, and Inclusion (EDI) in the depart

Benjamin Alan Goldstein,PhD, professor in the Department of Biostatistics and Bioinformatics and chief for the Division of Tra

The Duke Spark Initiative for AI in Medical Imaging formally launches this week. Spark’s mission at Duke encompasses research into development and use of artificial intelligence in medical imaging, with an emphasis on collaborative work between physicians across different specialties and machine learning experts.