Results 181 to 190 of about 1,190,682 (254)
Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection. [PDF]
Viswan V +9 more
europepmc +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
PANDIA: Personalized neuro-symbolic multimodal fusion for interpretable neonatal pain assessment. [PDF]
El Othmani O, Naouali S.
europepmc +1 more source
Fluorescent BODIPY‐conjugated thiosemicarbazone ligands and their Ga(III), In(III), and Fe(III) complexes, inspired by Triapine, are developed as theranostic agents. Multiphoton FLIM and confocal microscopy in cancer cells and zebrafish reveal real‐time uptake, mitochondrial localisation, and whilst spectroscopic assays indicated preserved complex ...
Megan J. Green +15 more
wiley +1 more source
MAGNet: enhancing action recognition with multimodal fusion and adaptive graph convolution. [PDF]
Dong H, Zhang F, Liu C, Mu L.
europepmc +1 more source
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
Multimodal Fusion of 3D CT and Pathological Images for Gastric Cancer Recurrence Prediction. [PDF]
Cao L +8 more
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Charting Endocrine Progenitors Across Species and Organs
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
Prediction of severe pediatric community-acquired pneumonia using multimodal fusion of chest radiographs and clinical data. [PDF]
Hu L +10 more
europepmc +1 more source

