Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen +3 more
wiley +1 more source
An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment. [PDF]
Karpagam M +6 more
europepmc +1 more source
Employing 2D organic/inorganic van der Waals heterostructure, a highly sensitive polarized near‐infrared photodetector is fabricated. This device demonstrates exceptional visible and NIR detection capabilities, achieving a responsivity as high as 104 A W−1.
Wen Xu +6 more
wiley +1 more source
Probabilistic data linkage to study the epidemiology of unintentional fatal drowning in a large metropolitan region. [PDF]
Shenoi RP +5 more
europepmc +1 more source
Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES
Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao +5 more
wiley +1 more source
Internet of Medical Things Systems Review: Insights into Non-Functional Factors. [PDF]
Gallo GD, Micucci D.
europepmc +1 more source
Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley +1 more source
HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers. [PDF]
Usman OL +5 more
europepmc +1 more source
Single‐Cell RNA Sequencing of Thyroid Tissues Reveals Pathogenesis of Graves' Disease
Using single‐cell RNA sequencing and TCR profiling, this study constructed an immune cell atlas in thyroid tissue of Graves’ disease (GD), revealing dominant IFN‐γ‐secreting CD4+ T cells, expanded Tph and CD11c+ B cells, and enriched T/NK cells. Notably, GD thyroid follicular cells (TFCs) activated γδ T cells, which recruited cDC1 cells, suggesting a ...
Xiaoyi Zhou +18 more
wiley +1 more source

