Simple AI on a Wristband Predicts When Women With Chronic Pelvic Pain Will Sit Too Long
Mount Sinai researchers built a privacy-preserving, on-device forecasting system that uses simple linear models and Fitbit data to predict sedentary ...
Mount Sinai researchers built a privacy-preserving, on-device forecasting system that uses simple linear models and Fitbit data to predict sedentary ...
Researchers have created a flexible memristor based on hexagonal boron nitride whose synaptic strength is programmed directly by bending, mimicking ...
Researchers at DGIST, UNIST, and IBS have developed an intrinsically stretchable quantum dot display achieving a record 53,300 nits and ...
A new letter to the editor in the Journal of Clinical Sleep Medicine argues that statistical inconsistencies and the inherent ...
Researchers at the University of the Punjab have introduced HumCareADL, a demographically diverse multimodal wearable dataset, and HyMCL-Net, a hybrid ...
KAIST researchers have developed a thin-film friction modulator based on a PVC gel that delivers strong, stick-slip-free variable clutching for ...
A new BMC Medicine review argues that learning health systems, powered by artificial intelligence, interoperable data, and continuous quality improvement, ...
A study of more than 23,000 All of Us participants combining whole-genome sequencing with nearly two years of Fitbit data ...
Researchers boosted the beta-phase content of electrospun PVDF fibers from about 66 to 87 percent using strontium-doped barium titanate particles, ...
A formal author's reply in the Journal of Clinical Sleep Medicine defends a study of actigraphic sleep duration against critiques ...
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© 2026 Scienmag - Science Magazine