The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...
Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
StudyFinds on MSN
AI map ranks US states by socioeconomic flu vulnerability
In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.
One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
Abstract: Diabetes is a chronic metabolic disorder caused by insufficient insulin production or ineffective insulin utilization, resulting in elevated blood glucose levels. As a major global health ...
aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: In this project, we have built a system that uses machine learning to predict not just diabetes, but also related issues like heart and kidney diseases. We have taken the PIMA Indian dataset ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...
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