Machine Learning Predicts Post-Dialysis Blood Pressure Using Early In-Session Clinical Records
A retrospective study of 7,600 hemodialysis sessions in Senegal shows that supervised machine learning can predict end-of-session blood pressure using ...
A retrospective study of 7,600 hemodialysis sessions in Senegal shows that supervised machine learning can predict end-of-session blood pressure using ...
A retrospective cone-beam computed tomography study of 1,857 first molars demonstrated that sex- and position-specific XGBoost machine learning models estimated ...
A new Temporal Fusion Transformer model offers calibrated probabilistic forecasts for earthquake magnitudes, outperforming graph-based baselines but showing no benefit ...
Researchers developed a ResUNet deep learning framework that simultaneously downscales near-surface winds and estimates hub-height wind speeds for wind power ...
A retrospective study reveals that a multimodal artificial intelligence model estimated pleural effusion volumes on chest radiographs with accuracy comparable ...
A graph structure inference framework achieved a 96.3 percent detection rate and high discriminative power when identifying anomalies in wind ...
A neural network-accelerated ice flow model reconstructed Himalayan glacier thickness from satellite velocity data with accuracy comparable to leading global ...
A study evaluating routine blood biomarkers shows that chronological age models exhibit prediction compression and diminished accuracy within narrow age ...
In a retrospective study of 2,407 surgical cases from VitalDB, a multimodal data-fusion model improved five-minute-ahead depth-of-anesthesia prediction during the ...
A review in Biogerontology proposes evaluating molecular aging clocks as task-bound tools rather than by age-prediction error alone.
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© 2026 Scienmag - Science Magazine