Machine learning maps how neighborhoods, activity, and mental health intertwine in aging
A systematic review of 27 studies finds machine learning is transforming research on living environments, activity, and mental health in ...
A systematic review of 27 studies finds machine learning is transforming research on living environments, activity, and mental health in ...
A Scientific Reports study presents a causal-enhanced federated transfer learning framework that improved cross-domain generalization robustness by 43% over conventional ...
A literature review finds stronger experimental support for cellular senescence as a cause of age-related decline than for somatic DNA ...
A causal and invariant-learning system reduced cross-domain dance quality-scoring error by 38.7% in a machine-learning study involving 125 dancers and ...
A bibliometric and content analysis of 21,346 Mendelian randomization publications finds horizontal pleiotropy as the most frequently coded methodological challenge ...
A Bayesian analysis of 28,151 Tanzanian children links malaria to sharply elevated anemia odds, with the strongest association among older ...
A new framework called CT-IDR combines recency-aware preference encoding, signed social influence propagation, and causal debiasing to improve both accuracy ...
A comprehensive review finds consistent observational links between H. pylori infection and colorectal neoplasia, but concludes that confounding, inconsistent prospective ...
A new data-driven framework reconstructs the full causal pathways linking Pacific sea-surface temperatures to rainfall in drought-prone Northeastern Brazil, recovering ...
A hierarchical deep latent-variable model outperformed existing methods at identifying causal triggers and predicting perturbation responses in synthetic and real ...
An observational causal machine-learning study identified context-specific defensive indicators and estimated tactical gains across football passing, receiving, carrying and shooting ...
A new counterfactual machine learning framework estimates how alternative acute nursing care strategies would individually affect critically ill oncology patients ...
A new evidence-accounting framework called the Causal Integration Ladder separates statistical association from causal, therapeutically tractable mechanism in cervical cancer, ...
A large-scale empirical study shows that hyperparameter tuning, not the choice of algorithm, is the dominant factor in whether machine ...
Researchers have developed MRZ, a new Mendelian randomization method that robustly classifies genetic instruments to deliver accurate causal estimates, validated ...
A 20-year cohort study links higher circulating PDGFD levels to increased atherosclerotic cardiovascular disease risk and simulates substantial risk reductions ...
A 22-month health-education experiment across 110 Honduran villages shows that informational interventions can durably rewire face-to-face social networks, dissolving ties ...
A new BMC Medicine Debate article argues that light epidemiology must adopt a construct-centred framework that explicitly defines what each ...
A new framework in the Journal of Medical Systems proposes formally qualifying the digital therapeutic alliance as a decision-making measure ...
A dual-cohort study of hundreds of thousands of Israeli and American health records links severe vitamin D deficiency to elevated ...
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