Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...
Draper recently received an up to $26.7 million other transaction award (OTA) from the Advanced Research Projects Agency for Health (ARPA-H). The award supports the agency's Computational ADME-Tox and ...
Protective Effects of Vitamin D in Necrotizing Enterocolitis of Preterm Infants: From Basic Research to Clinical Translation. Journal of Biosciences and Medicines, 14, 42-56. doi: ...
The UK punches above its weight in applying AI to solve automotive manufacturing problems. Could this give the country an edge again in this important industrial sector?
AI in oncology nursing remains in its early stages, but it’s already reshaping health care. This moment was evident at the 2025 American Society of Hematology Annual Meeting and Exposition, which ...
Quantum computing, a type of quantum technology, is poised to address pressing challenges in the healthcare sector.
WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
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