Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by recurrent intestinal inflammation, abdominal ...

Cambridge AI startup Theia Insights has raised $8M to scale its dynamic company classification platform for financial markets ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Astronomers at the University of Warwick have validated over 100 exoplanets, including 31 newly detected planets, using a new ...

As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level ...

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...