A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Researchers developed an AI model that analyzes health records to predict preeclampsia risk late in pregnancy, helping doctors monitor mothers and prevent complications.

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

Stanford researchers have combined two microscopy techniques to create a one-of-a-kind instrument that can show cell ...

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write ...

An old high speed aircraft preserved in a museum is tested to see if it can still start and possibly fly after years of ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

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

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

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

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.