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Showing 946-966 of 6,802 articles

Biochemical Characterization of Disease-Associated Variants of Human Ornithine Transcarbamylase.

Human ornithine transcarbamylase deficiency (OTCD) is the most common ureagenesis disorder in the wo...

Mar 2025 40059726

Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

. Metal artifacts severely damaged human tissue information from the computed tomography (CT) image,...

Mar 2025 40010000

Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

BACKGROUND: Genome-wide association studies (GWAS) have identified common variants associated with m...

Mar 2025 40065360

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite ad...

Mar 2025 40064251

A new strategy to HER2-specific antibody discovery through artificial intelligence-powered phage display screening based on the Trastuzumab framework.

Human epidermal growth factor receptor 2 (HER2) is a recognized drug target, and it serves as a crit...

Mar 2025 40056877

Machine learning enhanced immunologic risk assessments for solid organ transplantation.

The purpose of this study was to enhance the prediction of solid-organ recipient and donor crossmatc...

Mar 2025 40050345

Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs.

The aim of this study is to conduct a comparative assessment of the effectiveness of neural network ...

Mar 2025 40076956

PROPERMAB: an integrative framework for prediction of antibody developability using machine learning.

Selection of lead therapeutic molecules is often driven predominantly by pharmacological efficacy an...

Mar 2025 40042626

An antibody developability triaging pipeline exploiting protein language models.

Therapeutic monoclonal antibodies (mAbs) are a successful class of biologic drugs that are frequentl...

Mar 2025 40038849

Efficient Brain Tumor Detection and Segmentation Using DN-MRCNN With Enhanced Imaging Technique.

This article proposes a method called DenseNet 121-Mask R-CNN (DN-MRCNN) for the detection and segme...

Mar 2025 40033948

Efficacy and Safety of a Medical Robot for Non-Face-to-Face Nasopharyngeal Swab Specimen Collection: Nonclinical and Clinical Trial Findings for COVID-19 Testing.

ObjectivesTo meet the high demand for polymerase chain reaction (PCR) tests to diagnose COVID-19 and...

Mar 2025 40025714

Integrating Artificial Intelligence and Bioinformatics Methods to Identify Disruptive STAT1 Variants Impacting Protein Stability and Function.

The Signal Transducer and Activator of Transcription 1 () gene is an essential component of the JAK...

Mar 2025 40149454

Frequency-Assisted Local Attention in Lower Layers of Visual Transformers.

Since vision transformers excel at establishing global relationships between features, they play an ...

Feb 2025 40016195

Machine Learning Methods for Classifying Multiple Sclerosis and Alzheimer's Disease Using Genomic Data.

Complex diseases pose challenges in prediction due to their multifactorial and polygenic nature. Thi...

Feb 2025 40076709

Label as Equilibrium: A performance booster for Graph Neural Networks on node classification.

Graph Neural Network (GNN) is effective in graph mining and has become a dominant solution to the no...

Feb 2025 40015034

Neural Network-Enhanced Electrochemical/SERS Dual-Mode Microfluidic Platform for Accurate Detection of Interleukin-6 in Diabetic Wound Exudates.

Interleukin-6 (IL-6) plays a pivotal role in the inflammatory response of diabetic wounds, providing...

Feb 2025 39985433

Infectious Disease

Browse Categories

Biochemical Characterization of Disease-Associated Variants of Human Ornithine Transcarbamylase.

Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

A new strategy to HER2-specific antibody discovery through artificial intelligence-powered phage display screening based on the Trastuzumab framework.

Machine learning enhanced immunologic risk assessments for solid organ transplantation.

Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs.

PROPERMAB: an integrative framework for prediction of antibody developability using machine learning.

An antibody developability triaging pipeline exploiting protein language models.

Efficient Brain Tumor Detection and Segmentation Using DN-MRCNN With Enhanced Imaging Technique.

Efficacy and Safety of a Medical Robot for Non-Face-to-Face Nasopharyngeal Swab Specimen Collection: Nonclinical and Clinical Trial Findings for COVID-19 Testing.

Integrating Artificial Intelligence and Bioinformatics Methods to Identify Disruptive STAT1 Variants Impacting Protein Stability and Function.

Frequency-Assisted Local Attention in Lower Layers of Visual Transformers.

Machine Learning Methods for Classifying Multiple Sclerosis and Alzheimer's Disease Using Genomic Data.

Label as Equilibrium: A performance booster for Graph Neural Networks on node classification.

Neural Network-Enhanced Electrochemical/SERS Dual-Mode Microfluidic Platform for Accurate Detection of Interleukin-6 in Diabetic Wound Exudates.

A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.

Disease diagnostics using machine learning of B cell and T cell receptor sequences.

Estimating Absolute Protein-Protein Binding Free Energies by a Super Learner Model.

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