A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before organ dysfunction develops.

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...