Eric Tkaczyk

Benoit Dawant, PhD, left, Erik Tkaczyk, MD, PhD, and colleagues have developed a new way to measure human monkeypox severity.

Vanderbilt study uses AI to speed monkeypox drug trials

A machine learning algorithm developed by researchers at Vanderbilt performs as well as humans at identifying skin lesions in clinical photographs of people with monkeypox.

VUMC faculty members attending the meeting of the American Society for Clinical Investigation included, from left, Wesley Ely, MD, MPH, Patrick Hu, MD, PhD, Lorraine Ware, MD, Kimryn Rathmell, MD, PhD, Consuelo Wilkins, MD, MSCI, Christopher Williams, MD, PhD, Lori Jordan, MD, PhD, Natasha Halasa, MD, MPH, ASCI Council Member Julie Bastarache, MD, Eric Tkaczyk, MD, PhD, and James Crowe Jr., MD.

VUMC a national leader in physician-scientist training

Physician-scientists from Vanderbilt University Medical Center were well represented at the recent annual meeting of the American Society for Clinical Investigation (ASCI), Association of American Physicians (AAP) and the American Physician-Scientist Association.

Computer eyeballs graft-vs-host disease

A machine learning algorithm identified areas of skin affected by chronic graft-versus-host disease on par with clinicians, opening the door to streamlining and standardizing this measure of patient response to therapy.

Inga Saknite, PhD, Eric Tkaczyk, MD, PhD, and colleagues are studying how white blood cell motion in the skin’s microvasculature can help predict which stem cell and bone marrow transplant patients would have a relapse of their blood cancer. (photo by Anne Rayner)

Study finds 10-second videos predict blood cancer relapse

Vanderbilt research shows that 10-second videos of white blood cell motion in the skin’s microvasculature greatly improved the prediction of which stem cell and bone marrow transplant patients would have a relapse of their blood cancer.

Skin diseases study uses crowdsourcing to gather data

In 1906, English statistician Francis Galton happened to visit a livestock fair where fairgoers were invited to guess the dressed weight of an ox scheduled for imminent slaughter. Some 800 attendees took part and afterwards Galton got hold of the contest data.