We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
An artificial intelligence (AI)-powered lifestyle intervention app for prediabetes reduces the risk for diabetes similarly to ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Patient outcomes in advanced renal cell carcinoma (RCC) remain poor, with five-year survival rates ranging from ~10% to 30%. Early projections of therapeutic outcomes could optimize precision medicine ...
Prostate cancer is characterized by an immunosuppressive tumour environment. This work combines Raman spectroscopy with group-and-bases-restricted non-negative matrix factorization (GBR-NMF) and ...
A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more accurate and more hopeful predictions for the future of coral reefs amid ...
Objective: This study applied the Society Ecosystems Theory to investigate Fear of Progression (FoP) prevalence and predictors in gynecological malignancy patients. By constructing and comparing three ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback