Artificial Intelligence Medical Compendium

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

Showing 35,701 to 35,710 of 223,137 articles

EC-Design: A Robust Framework for Enzyme Function Prediction Using Dimensionality-Reduced Sequence Features.

Journal of chemical information and modeling
Automated enzyme classification is hindered by high-dimensional feature spaces and extreme class imbalance. In this study, we introduce EC-Design, a machine learning framework that utilizes principal component analysis (PCA) and Fisher Score-based fe... read more 

Attention-Enhanced U-Net for Sensor-Efficient High-Density EEG Reconstruction in Wearable Brain Monitoring Systems.

Journal of medical systems
UNLABELLED: High-channel-density (HCD) electroencephalography (EEG) enables fine-grained neural sensing but is constrained by high hardware costs, spatial complexity, and limited portability. This study developed a deep learning-based method to recon... read more 

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

medRxiv
Type 2 diabetes case reports describe complex clinical courses, but their timelines are often expressed in language that is difficult to reuse in longitudinal modeling. To address this gap, we developed a textual time-series corpus of 136 PubMed Open... read more 

Quantitative assessment of collagen architecture from routine histopathological images shows concordance with Second Harmonic Generation microscopy

medRxiv
Collagen organisation within the tumour microenvironment plays a critical role in tumour progression and has emerged as an important structural biomarker in cancer. Second Harmonic Generation (SHG) microscopy enables label-free visualisation and quan... read more 

TELF: An End-to-End Temporal Encoder with Late Fusion for Interpretable Disease Risk Prediction from Longitudinal Real-World Data

medRxiv
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiological research. However, contemporary transformer-based models increasingly rely on computationally intensive pre-training steps that entail processing ... read more 

Dual biomarkers ALOX5AP and INPP4A are associated with lipid metabolism and neutrophil extracellular traps in periodontitis: A bioinformatics and clinical validation study.

Archives of oral biology
OBJECTIVE(S): Periodontitis is a chronic inflammatory disease characterized by progressive alveolar bone destruction. While lipid metabolism and neutrophil extracellular traps (NETs) are implicated in periodontitis pathogenesis, their precise molecul... read more 

Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

Journal of clinical epidemiology
OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early intervention. We aimed to develop and externally validate a machine learning (ML)-derived self-asse... read more 

Artificial intelligence in scholarly peer review: a scoping review of applications, risks, and governance challenges.

International journal of medical informatics
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into scholarly publishing workflows, extending beyond manuscript preparation into editorial triage, reviewer assistance, and policy development. Peer review simultaneously faces long... read more 

Discovery, engineering and application of a maleate isomerase for efficient L-malic acid biosynthesis via dual-enzyme cascade with fumarase.

Bioorganic chemistry
L-malic acid (L-MA) is a valuable organic acid widely used in food, pharmaceuticals, and cosmetics. This study developed an efficient enzymatic system for its green synthesis using low-cost maleic acid as a substrate. Through bioinformatics mining, a... read more 

Microfluidic innovations driving the future of sperm motility and sex sorting techniques.

Biomaterials advances
Sperm sorting plays a pivotal role in assisted reproductive technologies (ART), ensuring the selection of functionally competent spermatozoa for enhanced fertilization, implantation, and pregnancy outcomes. Traditional approaches such as swim-up, den... read more