Results 121 to 130 of about 308,238 (274)
OpenCL/CUDA Algorithms for Parallel Decoding of any Irregular LDPC Code using GPU
This article provides a scalable parallel approach of an iterative LDPC decoder. The proposed approach can be implemented in applications supporting massive parallel computing. The proposed mapping is suitable for decoding any irregular LDPC code without
J. Broulim +3 more
doaj +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
GPU Accelerated Variation after Projection Calculation
The nuclear shell model has been very successful in describing various properties of nuclei, especially in the neighborhood of the closed shells, where the configuration space is usually small but good enough for the construction of the nuclear wave ...
LU Xiao, LIAN Zhanjiang, GAO Zaochun
doaj +1 more source
Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen +18 more
wiley +1 more source
SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai +12 more
wiley +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source
Unveil Fundamental Graph Properties for Neural Architecture Search
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source

