Standardized lab tests are central for patient evaluation, differential diagnosis and treatment. Interpretation of these data is nevertheless lacking quantitative and personalized metrics. Here we ...

Machine learning applied to electronic medical records can be used to create personalized lab-test reference ranges and to quantify disease risk, which will pave the way for precision medicine in ...

Mohana Ravindranath is a freelance health, science, and tech journalist and a 2025 Association for Health Care Journalists fellow. She was previously a Bay Area health tech correspondent for STAT.

When you bring a measurement instrument to a calibration lab, you assume that your instrument will come back within expected tolerances. But, how do you know? That's where laboratory proficiency tests ...

Lab tests play a key role in clinical decision-making. More than 4000 lab tests are available, and an estimated 70% of clinical decisions are based on their results. Correct interpretation is critical ...

One of the most rapidly accelerating health trends today is direct-to-consumer lab testing, in which users pay a company for a certain test, collect their own mouth or nasal swabs, finger-prick blood ...

The AI agent can identify patterns across 130 biomarker tests, explain to users why they matter and how they fit into a broader picture of health, executives said. (Hims & Hers) Hims & Hers launched ...

SANTA CLARA, Calif.--(BUSINESS WIRE)-- Agilent Technologies Inc. (NYSE: A) today announced its clinical informatics platform Alissa Interpret has been adopted by the North West Genomic Laboratory Hub ...

The COVID-19 pandemic continues to rage, with more than five million deaths worldwide. The urgent, global nature of the pandemic has led to great innovation with novel vaccines and diagnostics, ...