Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could ...

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the ...

In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect ...

In The Lancet Digital Health, a systematic review and meta-analysis by Alabed Samer and colleagues1 provides a clear picture about the current state of clinical artificial intelligence (AI) in ...

Every year, hundreds of thousands of Americans die from heart disease–the leading cause of death in the country. In some ...