Joint Models Resist Missing Biomarker Data but Falter Under High Measurement Error
A simulation study indicates joint models remain robust to missing markers, but elevated biomarker measurement error introduces bias.
A simulation study indicates joint models remain robust to missing markers, but elevated biomarker measurement error introduces bias.
A comprehensive review published in Aging Cell synthesizes published evidence linking the cellular activities of sirtuins to the thirteen canonical ...
A systematic review of 12 studies finds that pre-treatment exercise generally improves physical function but yields mixed results for strength ...
A new study demonstrates that genetic reporter labeling in mouse enteric glia remains stable for seven months under physiological conditions ...
A review in Frontiers in Pharmacology analyzes borneol's mechanisms in CNS diseases, noting context-dependent effects and a lack of high-quality ...
A retrospective cohort study in BMC Pediatrics identifies distinct immune cell changes and longer hospital stays in children with Stevens-Johnson ...
PhageLysData is a new evidence-aware dataset that integrates 759,105 unique phage enzyme sequences to support AI-ready protein analysis and comparative ...
A study of Ethiopia's North Gojjam Sub-Basin reveals historical warming and rainfall shifts alongside future climate projections that pose challenges ...
A case study demonstrated that an artificial intelligence digital twin using interpretable regression matched complex machine learning models for energy ...
In a retrospective registry study of adult out-of-hospital cardiac arrest in Saudi Arabia, Advanced Life Support crew configuration was significantly ...
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© 2026 Scienmag - Science Magazine