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Results 151 to 160 of about 264,274 (268)

Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery. [PDF]

Biology (Basel)
Ren Y, Bai H, Wang J, Yang Y, Wang Y.
europepmc +1 more source

A Multiepitope‐Based Lateral Flow Assay for Leprosy Antibodies

Analysis &Sensing, EarlyView.
An innovative lateral flow assay for leprosy diagnosis is based on gold nanoparticles and synthetic Mycobacterium leprae epitopes conjugated to keyhole limpet hemocyanin protein to enhance antibody detection. This strategy provides a rapid, accurate, and low‐cost approach for resource‐limited settings, enabling the early detection of infection. Leprosy
Cristiane Zocatelli‐Ribeiro +7 more
wiley +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu +5 more
wiley +1 more source

Research Progress on the Application of Radiomics and Deep Learning in Liver Fibrosis. [PDF]

J Imaging
Dang Y, Li W, Liu Z, Lei J.
europepmc +1 more source

Advances in Regulating Strategies and Applications of Ferroelectric Materials

Advanced Physics Research, EarlyView.
To meet the demand for precise control of performance in nanoelectronic devices, this paper systematically reviews the latest advances in controlling ferroelectric properties through strategies such as external field modulation, low‐dimensional confinement, interface engineering, and topological structure design.
Jianying Ji, Cong Liu, Dan Luo, Zhou Li
wiley +1 more source

Deep learning-based assessment of PD-L1 expression in NSCLC predicts outcome for patients treated with anti-PD-1 immunotherapy. [PDF]

Front Immunol
Peroz M +6 more
europepmc +1 more source

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome

Arthritis &Rheumatology, EarlyView.
Objective Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)–positive patients using whole‐blood transcriptomics.
Amala Ambati +13 more
wiley +1 more source

Enhanced muscle MRI using deep learning: shorter acquisition time with improved image quality. [PDF]

PeerJ
Fan P +10 more
europepmc +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi‐Omic Analysis: Insights into Cardiovascular and Renal Complications

Arthritis &Rheumatology, Accepted Article.
Background Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó +84 more
wiley +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

Arthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H Sawalha +2 more
wiley +1 more source

deep learning
machine learning
fos: computer and information sciences

microbiology
3. good health
machine intelligence

convolutional neural network
bioinformatics
humans