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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.
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They’ve all discovered that their next big idea might come from a college classroom....
Until recently, the majority of Lee Brown’s academic career and research at Texas Woman’s University had centered on corporate political activities and business-government interaction. But just two short years ago, Brown, the business college’s associate dean of research and an associate professor of management, started delving into artificial intelligence technology....
“It’s destined to happen somewhere. I’d rather it happen here first.”
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Texas State Representative
Chair, Pensions, Investments, and Financial Services Committee
…on the potential for Texas to create a Bitcoin strategic reserve ahead of federal initiatives, speaking at the Texas Blockchain Summit in Dallas this week....
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