Diego V. Bohórquez, PhD, and Lauren Brinkley-Rubinstein, PhD, were among the nearly 400 recipients of Presidential Early Career Awards for Scientists and Engineers honors announced by The White House this week.

Hospitalized premature infants who received recommended two-month vaccinations had an increased risk of a short episode of apnea but no serious complications, according to a study led by Duke Health researchers.

From pursuing climate change research to enhancing the partnership with the Veteran's Administration, and advancing the groundbreaking FDA-approved drug for low-grade gliomas developed by the team at the Preston Robert Tisch Brain Tumor Center, the achievements at the Duke University School of Medicine in 2024 have been remarkable. Watch this short video that highlights these and other milestones.

Akankshi Munjal, PhD, assistant professor of cell biology, is driven by her fascination with watching development happen.

A report published in October 2023 and released by the American Psychological Association and ecoAmerica found “prenatal impacts of climate change can derail the normal development of physiological systems, cognitive abilities and emotional skills in ways that are sometimes irreversible.”

Patients with ductal carcinoma in situ (DCIS) are usually treated with surgery and radiation, even though it may not develop into invasive breast cancer. Dr. Shelley Hwang recently presented a study suggesting that active monitoring could be an equally effective and less aggressive option for many women.

The Medical Physics Graduate Program recently marked its 20th anniversary. In the two decades since it was launched, the program has had global impact and national influence.

Joel Graybeal's journey with metastatic prostate cancer highlights the exceptional care he received at Duke Cancer Institute.

Samuel Katz, MD, who chaired the Department of Pediatrics for 22 years, was a role model for integrating science and clinical care.

A team led by Rohit Singh, PhD, has developed a computational technique that allows large language models to predict antibody structures more accurately.