Feasibility and Psychometrics of a New Test Battery for Diagnosing Patients With Schizophrenia Spectrum Disorders. [PDF]
Fichadia PA +5 more
europepmc +1 more source
INNOVATIVE APPROACH FOR TEACHING THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE
openaire +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Combined Prognostic Value of Nutritional and Inflammatory Indices for Predicting Functionally Significant Coronary Stenosis Verified by FFR: The PNI-SII-GINI Study. [PDF]
Aydın MZ +5 more
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Detecting bipolarity using the Lebanese Arabic hypomania checklist (HCL-32): validation of shortened HCL versions. [PDF]
Al Barathie J +4 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study. [PDF]
Zhong G +7 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Comparison of National Early Warning Score 2 (NEWS2) and Quick Sequential Organ Failure Assessment (qSOFA) for Predicting In-Hospital Mortality in Patients With Sepsis. [PDF]
V A, Varghese S, Joseph RM.
europepmc +1 more source

