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A study reveals that genetically altering fat cells in mice to overproduce the hormone FGF21 leads to improved metabolic health, including better blood sugar control and cholesterol levels.

A research team at the University of South Florida has developed an artificial intelligence system that analyzes children’s facial expressions to help clinicians identify PTSD and track symptom changes over time.

DunedinPACNI, a new tool developed by researchers from Duke University, Harvard University and the University of Otago, uses brain MRI scans to estimate a person’s pace of aging. The tool predicts future health outcomes, including dementia risk.

Researchers have developed a new alternative to mammography for breast imaging. The technique, photoacoustic computed tomography (PACT) uses a laser-sonic scanner and machine learning to identify tumors in as little as 15 seconds.

Researchers have developed a smart, self-powered magnetoelastic pen that can help to detect the early signs of Parkinson's disease by analyzing a person's handwriting.

StateViewer, an AI tool, analyzes FDG-PET scans to classify nine types of dementia with 88% accuracy. Tested on over 3,600 scans, it helps clinicians diagnose dementia nearly twice as fast with three times the accuracy of traditional methods.

The tech demonstrated the ability to automate tumor segmentation with high consistency across hospitals and scan types.

A recent study reveals that slowing down the intracellular transport of RNA-based drugs can significantly enhance their effectiveness. These therapeutics are currently used to treat rare genetic diseases.

Water molecules represent a powerful but largely underappreciated foothold in drug binding studies. See how ColdBrew can provide accurate water displacement predictions for protein structures, providing a clearer landscape for drug discovery.

Researchers have developed a novel molecule capable of storing information at temperatures as cold as -173°C, opening new possibilities for ultra-dense storage systems.