A machine learning tool combining quantitative muscle MRI fat fractions with clinical scores predicts when boys with Duchenne ...
A study of 148 built-up cold-formed steel column tests found that machine-learning corrections performed well within the database but transferred poorly to unseen experimental programmes, limiting ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.
"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...
Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...
Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...