Machine Learning Flags College Students at Risk of Depression and Anxiety
Machine-learning models using behavioral and psychosocial indicators externally validated for stratifying college students' depression and anxiety risk.
Machine-learning models using behavioral and psychosocial indicators externally validated for stratifying college students' depression and anxiety risk.
A dual-center cohort study found that blood-based biological aging and frailty measures were associated with postoperative mortality but did not ...
A systematic review of 51 studies finds that machine learning assessment of tumor-infiltrating lymphocytes in breast cancer histopathology is technically ...
A Spanish telepharmacy study found that average quality-of-life improvement in psoriasis concealed a persistently impaired minority, and that a single ...
A study of more than 21,000 postmenopausal women found that five common cardiovascular risk prediction models showed poor discrimination and ...
A calibration and electromagnetic tracking system achieved sub-millimeter accuracy for real-time augmented reality overlays during 16 robot-assisted pelvic lymph node ...
A new graph neural network framework makes skin lesion classification more transparent, but candid reporting reveals serious weaknesses in melanoma ...
Researchers have introduced ε-iFair, the first job recommendation algorithm with a tunable ε-individual fairness guarantee that also keeps recommendations calibrated ...
A retrospective registry analysis of 3,302 adults with large B-cell lymphoma found that machine-learning models using information available by Day ...
A variational Bayesian neural network trained on the Wisconsin Diagnostic Breast Cancer dataset matches conventional classifiers while flagging which predictions ...
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© 2026 Scienmag - Science Magazine