Researchers develop computer machine-learning model to predict remission or relapse in AML patients

Researchers have developed the first computer machine-learning model to accurately predict which patients diagnosed with acute myelogenous leukemia, or AML, will go into remission following treatment for their disease and which will relapse. “It’s pretty straightforward to teach a computer to recognize AML, once you develop a robust algorithm, and in previous work we did it with almost 100 percent accuracy,” said Murat Dundar, senior author of the disease-progression study and associate professor of computer science in the School of Science at Indiana University-Purdue University Indianapolis.

Study shows risk of skin cancer doesn’t deter most college students who tan indoors

White female college students in Indiana who tan indoors know they are placing themselves at risk of skin cancer and premature skin aging, but most continue to tan indoors anyway, according to a study conducted by researchers at the Richard M. Fairbanks School of Public Health at Indiana University-Purdue University Indianapolis. The self-administered questionnaire survey of 629 female undergraduate and graduate students between the ages of 18 and 30 at Indiana University’s campuses in Bloomington and Indianapolis was conducted in 2016.