Real-time calibrated models could have sharpened pandemic decision support in England
Researchers propose a real-time calibration approach that embeds model discrepancy into infectious disease models to support pandemic policy decisions.
Researchers propose a real-time calibration approach that embeds model discrepancy into infectious disease models to support pandemic policy decisions.
A review article synthesizes five years of Urban AI in Planning roundtable discussions, identifying human-AI complementarity, geographic equity and collaborative ...
A new hybrid machine learning framework, GIStorm-Net, combines XGBoost, graph neural networks and optimization algorithms to predict urban flood risk ...
A retrospective multicenter study in South Korea developed a federated learning model that predicted receipt of coronary revascularization within one ...
A Bayesian network model predicts transfusion volume and timing in trauma patients, achieving AUROCs of 0.82–0.94 in external validation.
A retrospective study of 292 joint replacement records found that DeepSeek-R1 with a guideline knowledge base significantly improved junior physicians' ...
An AI pipeline from Frankfurt automatically grades testicular biopsies with the Bergmann-Kliesch Score and matched pathologist assessments, correctly classifying every ...
A multicenter Chinese study found that a fine-tuned large language model identified autism spectrum disorder in young children from electronic ...
A qualitative study of 12 Norwegian paramedics identifies both barriers and opportunities in using digital health technologies for non-emergency prehospital ...
A lightweight digital-twin workflow turns public datasets into ranked, field-verifiable priorities for heat and flood adaptation in data-scarce fragile cities ...
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© 2025 Scienmag - Science Magazine