This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...
This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...
Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...
A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
Background In 2024, the UK National Institute of Health and Care Excellence (NICE) recommended TriageHF alerts as an option ...
Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
The likelihood for self-reported prediabetes was significantly elevated among adults who smoked combustible cigarettes only, ...
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