Results 191 to 200 of about 51,348 (268)
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
Multiscale analysis of Rb<sub>2</sub>NaInI<sub>6</sub>: from electronic structure to device performance for next-generation perovskite solar cells. [PDF]
Mahedi AH +8 more
europepmc +1 more source
Impurity tolerance in LiFePO4 cathodes varies strongly with impurity type and content. Low Ni levels are accommodated within the lattice with minimal structural disruption, whereas higher Ni contents introduce antisite disorder. In contrast, Cr impurities segregate from the LiFePO4 framework, blocking lithium‐ion pathways and leading to inferior ...
Minjin Kim +3 more
wiley +1 more source
Prediction of Mechanical Properties of Void Defect-Containing <i>C<sub>f</sub></i>/SiBCN Ceramic Matrix Composite Based on a Multiscale Analysis Approach. [PDF]
Pan Y, Liu X, Yao J.
europepmc +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections. [PDF]
Schupp PG +15 more
europepmc +1 more source
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Multiscale Analysis of Impact-Resistance in Self-Healing Poly(ethylene-co-methacrylic acid) (EMAA) Plain Woven Composites. [PDF]
Zhang Z, Tie Y, Fan C, Yin Z, Li C.
europepmc +1 more source
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source

