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, ...

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 ...

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 ...

Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

New University of Utah research reveals the potential of medication informatics and DNA drug-sensitivity testing to reduce overall healthcare resource use and costs in elderly patients treated with ...

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

The International Baccalaureate program, which credentials high-school students who take college-level classes, canceled exams this year because of COVID-19. But that did not stop the program from ...

For all the talk about predictive maintenance in the past five years, it is still a very young field. Prior to the pandemic, some observers estimated that as few as 10% of airlines were using modern ...

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 ...

Industrial, commercial, medical, and academic institutions face several challenges in maintaining medium- and low-voltage electrical systems. These systems are counted on to distribute reliable power ...