New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

Ultra-deep Whole Genome and Whole Transcriptome sequencing combined with sophisticated AI algorithms delivers superior performance to existing cancer detection technologies IRVING, Texas, July 1, 2026 ...

With the increased need for data to support artificial intelligence (AI) and large language models, data aggregation and de-identification are ...

Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...

It is barely the second quarter of the year, yet the Kenyan healthcare regulatory landscape is being redrawn. Two documents released in 2026 will be major determinants of how pharmacies, clinics, ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

A product approach that merges human-centered design with clinical validation can transform healthcare experiences, as the ...

Scientific research has never produced more information than it does today. Across nearly every discipline, researchers face ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...