A research team at MedUni Vienna developed a method which utilizes multi-omics and machine learning to identify prostate cancer patients for whom surgical treatment is the best option, potentially avoiding unnecessary surgery in patients with a lower risk of tumor spread.
An artificial intelligence-based model developed by UT Southwestern Medical Center researchers can accurately predict which kidney cancer patients will benefit from anti-angiogenic therapy, a class of treatments that’s only effective in some patients.
