The assay is designed to encourage informed patient-physician decision-making when choosing a treatment option in localised ...

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, ...

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 ...

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Please provide your email address to receive an email when new articles are posted on . The FPIES diagnostic test would facilitate quick diagnosis when patients visit the ED. Predictive tests would ...

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 ...

Prostate cancer is the second leading cause of cancer death in men in the U.S., with an expected 288,000 cases and 34,700 deaths expected in 2023, per the American Cancer Society. As artificial ...

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 ...

Researchers from University of California San Diego School of Medicine have found that testing for lipoprotein(a) — a genetic risk factor for heart disease — remains uncommon in the United States, ...