A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Precision medicine and multidisciplinary care in gastric and gastroesophageal junction (G/GEJ) cancers: Challenges and practice gaps in community cancer clinics. This is an ASCO Meeting Abstract from ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?