Results 101 to 110 of about 130,066 (238)
Response to "Letter to the Editor: The importance of quantifying training loads and applying exercise principles in respiratory muscle training studies". [PDF]
Russian C, Armstead S.
europepmc +1 more source
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Artificial intelligence for improving decision-making in bacterial infection management: a narrative review. [PDF]
Talianu A +9 more
europepmc +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Pharmacodynamic individualization of phage therapy against a KPC-5-producing Pseudomonas aeruginosa. [PDF]
Nguyen TD +7 more
europepmc +1 more source
Material‐Induced Nuclear Deformation Controls Chromatin Architecture in Adipose Stem Cells
Tuning cell and cytoskeleton mechanics modulated nuclear shape and heterochromatin organization in ASCs. Distinct cytoskeletal architectures induced nuclear morphologies from oblate to prolate ellipsoids. Large elongated cells with a structured actin cap exhibited high nuclear strain, driving nuclear envelope deformation and heterochromatin ...
Carlo F. Natale +6 more
wiley +1 more source
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen +22 more
wiley +1 more source
Early warning of moral responsibility deficiency in personalized education: a machine learning approach. [PDF]
Li Y, Wang Y.
europepmc +1 more source

