Artificial Intelligence Medical Compendium

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

Showing 21,151 to 21,160 of 216,348 articles

Artificial intelligence-driven rational design and optimization of a potent terpenoid-derived PCSK9 inhibitor.

Molecular diversity May 9, 2026
Hypercholesterolemia is a pivotal risk factor for cardiovascular diseases, and its effective management is critical to reducing cardiovascular event incidence. The protein-protein interaction (PPI) between PCSK9 and low-density lipoprotein receptor (... read more 

Rapid evaluation of the comprehensive quality of paeonol/cyclodextrin supramolecular complexes using CASSA based on near-infrared spectroscopy combined with artificial intelligence.

Molecular diversity May 9, 2026
Supramolecular complexes of volatile components and cyclodextrin are widely used to improve the stability of volatile compounds. However, the quality assessment of these complexes remains challenging. In this study, paeonol/cyclodextrin complexes wer... read more 

Exploring anti-dengue activity with atomic-weighted vectors, class balancing and machine learning.

Molecular diversity May 9, 2026
Dengue is a major mosquito-borne viral disease with no effective antiviral treatment currently available. This work introduces a machine-learning framework to predict anti-dengue activity in small molecules using Atomic-Weighted Vector (AWV) descript... read more 

Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma.

Discover oncology May 9, 2026
BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent clinical need for novel biomarkers to guide personalized treatment. Although kinase-related genes (K... read more 

The sound of longevity: music and technology for healthy ageing.

Aging clinical and experimental research May 9, 2026
A growing body of research is focusing on how music, technology, and neuroscience can converge to promote healthy ageing and counteract pathological decline. In particular, music interventions for older adults have been garnering increasing attention... read more 

Combining single cell and bulk transcriptomics with Mendelian randomization identifies gut microbiota related prognostic genes and mechanisms in thyroid cancer.

Discover oncology May 9, 2026
BACKGROUND: Imbalance in gut microbiota (GM) may play a role in the development of thyroid cancer (TC), but the specific mechanisms remain unclear. This study aimed to identify prognostic genes associated with both TC and GM and investigate the under... read more 

Zero-TE MRI-based attenuation correction for bone components on chest [18F] FDG PET/MRI: accuracy, repeatability, and external validation of an unsupervised deep learning approach using unpaired PET/CT data.

Annals of nuclear medicine May 9, 2026
OBJECTIVE: In positron emission tomography (PET)/magnetic resonance imaging (MRI), attenuation correction (AC) for PET of the head is achieved by MRI data to generate pseudo-computed tomography (CT) images. However, for the torso, AC becomes more cha... read more 

Protein Language Model Embeddings Improve HIV Drug Resistance Prediction: A Comprehensive Benchmark with Attention-Based Interpretability.

Bioinformatics (Oxford, England) May 9, 2026
MOTIVATION: Accurate prediction of HIV drug resistance from viral sequences is critical for optimising antiretroviral therapy. Traditional machine-learning approaches using binary mutation encoding achieve strong accuracy but may fail to capture epis... read more 

3D human body modeling for clothing ergonomics: a review of techniques and applications in human-garment interaction.

Ergonomics May 9, 2026
3D human body modelling offers new opportunities for advancing ergonomic assessment in clothing design, particularly in evaluating fit, comfort, and human-garment interaction. This paper provides a systematic review of recent developments in 3D body ... read more 

Feasibility of retrieval-augmented generation for large language models with Japanese input in radiotherapy.

Journal of radiation research May 9, 2026
Large language models (LLMs) have recently gained attention for their potential. However, concerns remain regarding their reliability due to limitations such as hallucinations and insufficient domain-specific knowledge. Retrieval-augmented generation... read more 
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