Transvaginal ultrasound combined with serum anti-Müllerian hormone, follicle-stimulating hormone, and luteinizing hormone in the evaluation of ovarian reserve function in infertile patients. [PDF]
Ying J, Hu X, Liu Z, Shi L, Li L.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Serum irisin levels in women with polycystic ovary syndrome: a cross-sectional case-control study. [PDF]
Toyran A, Minareci Y, Gulerman C.
europepmc +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Conditional Perplexity Scoring for Large Language Model-Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation. [PDF]
Hirosawa T +3 more
europepmc +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Serum Neuritin is a Predictive Biomarker of Poor Neurological Recovery After Traumatic Spinal Cord Injury: A Prospective Cohort Study. [PDF]
Yan T +8 more
europepmc +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Predicting <i>Helicobacter pylori</i> Antibiotic Resistance from Routine Hematoxylin and Eosin Histopathology Using a Vision-Language Model-Guided Foundation Model Framework. [PDF]
Xiong S +6 more
europepmc +1 more source

