MORE►
National Institute of General Medical Sciences
UTA Associate Professor Suvra Pal, right, and his student student Wisdom Aselisewine, left, published a new model predicting survival of cancer. [Sources: UTA photos, istockphoto background]
UTA Study Shows Machine Learning Technique Is 30% Better at Predicting Cancer Cure Rates
by Lance Murray | Dec 6, 2023
UT Arlington principal investigator Dr. Suvra Pal said that previous studies modeling the probability of a cancer cure—also called the cure rate—"used a generalized linear model." The new statistical modeling method published by Pal and his student is said to be 30% more effective in predicting who will be cured of cancer and who will need further treatment.
by Heather Noel |
Jul 27, 2017
A group of North Texas investors made up a major portion of the Series A round.
MORE►
