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Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
A new study introduces choice engineering—a powerful new way to guide decisions using math instead of guesswork. By applying ...
Discover a study about an AI model named PLAN-B-DF that has been developed to improve the prediction of hepatocellular ...
"Despite technological advancements, people continue to experience challenges with the complexities of insulin dosing," said Kevin Cammack, head of connected care for Lilly Diabetes. "Using the ...
High levels of cholesterol may gradually clog your arteries, which makes it more difficult for blood to flow. This increases ... your hose so you can still use it to water your plants.
The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.
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AZoRobotics on MSNMachine Learning Uncovers Key Risk Factors Behind Dementia in Parkinson’s PatientsA study reveals machine learning models can predict dementia in Parkinson's patients, emphasizing the role of genetics and ...
Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.
Medical news, education and information for physicians and health care professionals, presented by specialty and topic. From Healio and the Wyanoke Group.
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms ...
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