A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...
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 ...
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 ...
Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...
AI integration in employer-sponsored health care is accelerating. Here are 5 key opportunities to drive better quality, ...
A team of researchers from Skoltech, the Federal Center for Brain and Neurotechnologies (FMBA of Russia), Lomonosov Moscow State University, and other leading organizations has released a dataset that ...
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Science for living: Can using AI risk prediction in breast cancer screening improve early detection?
Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...
The intersection of artificial intelligence and mechanistic neuroscience is rapidly transforming our understanding of neural systems. While AI ...
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