Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of ...

Predicting the course of prostate cancer is challenging because only a fraction of prostate cancer patients experience recurrence after radical prostatectomy or radiation therapy. Yet, prostate cancer ...

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Quality of life in patients with pure and mixed anaplastic oligodendroglioma treated with dose-intense temozolomide: A phase II multicenter study. Background: This study establishes Perfusion MRI ...

CU Boulder’s Bortz group, in applied math, wins $1.88 million National Institutes of Health grant to study methods for learning models directly from data Data-driven discovery methods are a recently ...

In 2017, Roger Guimerà and Marta Sales-Pardo discovered a cause of cell division, the process driving the growth of living beings. But they couldn’t immediately reveal how they learned the answer. The ...