A retrospective computational reanalysis of Gene Expression Omnibus microarray cohorts identified a candidate 13-gene transcriptomic model that achieved an out-of-fold ...
A study of 1,575 adults in Italy found that nearly one-third lack basic knowledge of population ageing, with lower education ...
Researchers have developed an explainable multi-target machine learning framework to accurately predict critical seismic demands on nuclear reactor containment buildings ...
Computer scientists have developed a hybrid machine learning pipeline that accurately predicts secondary testosterone deficiency using six routine clinical and ...
Researchers developed a four-gene panel that stratifies sepsis patients into distinct immunological endotypes associated with differential mortality risks under hydrocortisone ...
A study in Telangana, India, demonstrates that conventional machine learning models rival deep learning architectures when groundwater quality classification incorporates ...
An integrative machine learning analysis of public tissue transcriptomic datasets identified a candidate 30-microRNA signature for oral squamous cell carcinoma ...
A computational screening of experimental two-dimensional covalent organic frameworks reveals atomic-level rules governing lithium-ion battery performance and highlights their potential ...
A modified quantum neural network architecture achieves faster convergence and lower error when modeling nonlinear dynamic systems in benchmark simulations.
An integrative transcriptomic and immune-genomic study of peripheral blood has identified SPTLC1, PTGES3, and HLA-G as candidate hub genes linked ...
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