Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...
Abstract: Machine learning has great opportunities in early detection of diseases and better patient health treatment. This paper provides a predictive model of medical conditions based on a Kaggle ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
WASHINGTON (AP) — A plan to slash drug review times at the Food and Drug Administration is sparking deep concerns among agency staffers and outside experts, with some saying the poorly defined effort ...
WASHINGTON (AP) — The Food and Drug Administration commissioner's effort to drastically shorten the review of drugs favored by President Donald Trump's administration is causing alarm across the ...
Jan 15 (Reuters) - The U.S. Food and Drug Administration has delayed reviews of two drugs chosen for the Trump administration's new fast-track program after agency scientists flagged safety and ...