Peter Salgo, MD, and John L. Fox, MD, MHA, discuss the definition of predictive value of diagnostic testing in cancer and describe the value of the genomic assays that are currently available in ...

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

Antoni Ribas, MD, PhD: For certain cancers where we know it can only work in a specific situation that has a specific marker, having a companion diagnostic makes a lot of sense. You want to select ...

Ataraxis AI, a frontier artificial intelligence (AI) research lab developing AI-powered tools for oncology, today announced Ataraxis™ Breast CTX, a new predictive capability within its Ataraxis Breast ...

Traditional testing, though valuable, is often reactive and identifies quality issues only after they have occurred. This can lead to project delays and financial and reputational losses. In fact, ...

Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic ...

The foundation of parametric test within semiconductor manufacturing is its usefulness in determining that wafers have been fabricated properly. Foundries use parametric test results to help verify ...

A predictive model for psoriasis relapse risk demonstrates moderate performance, according to results of a recent study.