New Bayesian Model Extracts Shared Microbial Signals Across Heterogeneous Studies
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
A systematic review of 82 studies found SHAP dominated interpretability methods in machine learning disease prediction, while calibration, stability and ...
A scoping review of eight studies finds AI models predicting periodontal disease progression and tooth loss perform moderately to highly ...
A simulation-based study reports that a federated Edge-AI framework combining smart neck collars and a hybrid GBoost-LSTM model predicted dairy ...
Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...
A landmark comparison of the two leading plasma proteomic platforms across 11 cohorts shows which protein measurements travel reliably between ...
New research in Nature Metabolism shows that the trajectory of gut microbiome maturation in early childhood interacts with a child's ...
A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...
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© 2025 Scienmag - Science Magazine