Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 52,601 to 52,610 of 225,341 articles

TFAP2A transcriptionally regulates B3GALT2 to affect gouty arthritis progression through pyroptosis: a study based on machine learning and multi-omics integration analysis.

Journal of orthopaedic surgery and research Feb 8, 2026
BACKGROUND: Gouty arthritis (GA) is an inflammatory joint disease driven by monosodium urate (MSU) crystal deposition. The NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome-mediated pyroptosis is central to GA pathoge... read more 

PCOSFusionNet: Hybrid Deep Feature Fusion Network for PCOS Classification from Ultrasound Images of Ovaries.

Ultrasonic imaging Feb 8, 2026
Polycystic Ovary Syndrome (PCOS) is a leading cause of female infertility and is associated with various health complications, including preterm abortions, anovulation, and ovarian cancer. It affects approximately 5% to 10% of women in their reproduc... read more 

Denoising of PET with SwinUNETR neural networks: impact of tumor oriented loss function, denoising module for 3D slicer.

Annals of nuclear medicine Feb 8, 2026
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ANXA2, DBN1, ZNF385D, and IL6ST: Endothelial cell biomarkers linking atherosclerosis progression to immune microenvironment dysregulation.

Clinical and experimental hypertension (New York, N.Y. : 1993) Feb 8, 2026
BACKGROUND: Atherosclerosis (AS) is a complex cardiovascular disorder driven by endothelial cell dysfunction and immune microenvironment dysregulation. We identified novel endothelial-related diagnostic biomarkers through multi-omics integration and ... read more 

Integrating Spatial Proteogenomics in Cancer Research.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 8, 2026
BACKGROUND: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogen... read more 

A Comprehensive Benchmarking Study on Computational Tools for Cross-omics Label Transfer from Single-cell RNA to ATAC Data.

G3 (Bethesda, Md.) Feb 8, 2026
With continuous progress of single-cell chromatin accessibility profiling techniques, scATAC-seq has become more commonly used in investigating regulatory genomic regions and their involvement in developmental, evolutionary, and disease-related proce... read more 

Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 8, 2026
Synthetic biology employs engineering principles to construct genetic circuits with customized functionality, empowering unprecedented control over biological systems. By harnessing this capability to precisely manipulate biological systems, syntheti... read more 

Genetic Diagnosis and Discovery Enabled by Large Language Models.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 8, 2026
Artificial intelligence (AI) has been used in many areas of medicine, and large language models (LLMs) have shown potential utility for various clinical applications. However, to determine if LLMs can accelerate the pace of genetic diagnosis and disc... read more 

Biomarker discovery and drug repurposing in hepatocellular carcinoma through transcriptomics, machine learning, network pharmacology, and molecular dynamics.

Computational biology and chemistry Feb 8, 2026
This study employed an integrative computational and systems biology framework to define a diagnostic gene signature for hepatocellular carcinoma (HCC) and to explore its potential translational relevance in a hypothesis-generating manner. Differenti... read more 

A novel in silico platform combining data-driven and physics-based models for protein formulation developability assessment.

Journal of pharmaceutical sciences Feb 8, 2026
The development of novel therapeutic proteins is accompanied by huge financial and time investments. Advancing molecules through drug product development without proper scrutiny often leads to costly failures. In some cases, such failures are related... read more 
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