UTA's Innovative Machine Learning Technique Boosts Cancer Cure Rate Predictions by 30%

Suvra Pal, PhD, MS and Wisdom Aselisewine

As computing power has rapidly advanced, machine-learning (ML) techniques have gained popularity in predicting survival rates for diseases like cancer, heart disease, and COVID-19. A professor and doctoral student at The University of Texas at Arlington have developed a groundbreaking cancer survival prediction model, boasting a 30% improvement over previous methods. This model not only aids patients in avoiding unnecessary treatments but also allows healthcare teams to focus on those requiring additional interventions.