Frontiers in Medicine 2024 | AI in Oncology: Predicting Cancer’s Course

AI in Oncology: Predicting Cancer’s Course
Frontiers in Medicine 2024

Imagine how treatment
for cancer could be individualized if we could accurately
predict each patient’s unique disease trajectory. Dr. Plevritis leads
a cancer systems biology lab that is pioneering the new field of
spatial biology to do just that. By combining tailored AI models
with many types of data from patient samples, her team is able
to watch the story of health unfold over time. She hopes to predict
with enhanced accuracy which clinical event will likely be
next for cancer patients based on their medical and molecular
history—knowledge that can guide advances in early detection
and treatment response.

Sylvia Plevritis, PhD
Chair, Department of Biomedical Data Science
William M. Hume Professor, School of Medicine
Professor, Biomedical Data Science
and Radiology