Results 221 to 230 of about 1,143,945 (288)

Benchmarking gut microbiome indices within and across populations

open access: yesiMetaOmics, EarlyView.
We compared 10 widely used gut microbiome indices in 12,561 American Gut Project participants and 10 external cohorts, testing how well each distinguished people with healthy lifestyles, responded to 79 environmental factors, and associated with 14 chronic conditions. No single index performed best on all three tasks.
Yu Sun   +6 more
wiley   +1 more source

Edge-aware GAT-based protein binding sites prediction. [PDF]

open access: yesPLoS Comput Biol
Yang W, Zhang H, Qiu W, Xiao X, Lin W.
europepmc   +1 more source

Tissue Clearing for Lymph Nodes: 3D Mapping of Nerves and the Immune Microenvironment

open access: yesiNew Medicine, EarlyView.
ABSTRACT Lymph nodes (LNs) are central hubs of adaptive immunity and key relay sites for metastatic tumour cells. However, conventional two‐dimensional histology samples only a small fraction of each node, potentially missing micrometastases and multifocal involvement while obscuring long‐range spatial relationships among tumour deposits, immune ...
Guang‐Hong Su   +7 more
wiley   +1 more source

DINOSim: Training‐Free Semantic Segmentation on Microscopy Images

open access: yesMicroscopy Research and Technique, EarlyView.
DINOSim enables training‐free semantic segmentation of microscopy images from simple point prompts by leveraging DINOv2 embeddings, achieving performance comparable to supervised methods and robust generalization across diverse biological domains. ABSTRACT We present DINOSim, a training‐free method for segmenting objects in microscopy images without ...
Aitor González‐Marfil   +2 more
wiley   +1 more source

Multicenter, Multivendor Development and Validation of Automated Liver Prescription

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Manual prescription of liver MRI volumes introduces inter‐operator variability and prolongs exam duration. Artificial intelligence (AI)‐based prescription has been demonstrated, but existing work has been limited to single‐vendor settings. Purpose To develop and validate an AI model for automated liver MRI prescription using a large,
Garrett C. Fullerton   +13 more
wiley   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

open access: yesJournal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira   +4 more
wiley   +1 more source

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