Artificial Intelligence Medical Compendium

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

Showing 12,941 to 12,950 of 210,785 articles

Gender disparities in random blood glucose levels among Pakistani adults with type 2 diabetes: a cross-sectional analysis.

Scientific reports
This study investigated gender disparities in random blood glucose (RBS) levels among Pakistani adults with Type 2 Diabetes (T2D), examining biological and sociocultural determinants. A cross-sectional analysis of 300 age-matched adults with T2D (150... read more 

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more 

Radiomics Grading of Hand Osteoarthritis Severity Using Standard Radiographs: Results from the DIGICOD Cohort.

Osteoarthritis and cartilage
OBJECTIVE: This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structural severity in hand osteoarthritis (HOA) compared to Kellgren-Lawrence (KL) scores, ranging from 0 ... read more 

A two-stage stacking machine learning framework for predicting metal oxide nanoparticle toxicity and biological outcomes.

NanoImpact
Metal oxide nanoparticles (MONPs) raise growing cytotoxicity concerns, yet experimental assessment requires multiple time-consuming biological assays. We developed a leakage-free two-stage machine learning framework predicting MONP toxicity and biolo... read more 

Enhancing Protein Subcellular Localization Prediction through Language Model-Based Knowledge Embeddings and Machine Learning Techniques.

Analytical biochemistry
Determining the subcellular localization of proteins is critical for understanding their functional roles. With the rapid expansion of protein sequence databases, traditional experimental and homology-based approaches for Protein Subcellular Localiza... read more 

Activity-driven engineering of Baeyer-Villiger monooxygenase from Thermobifida fusca for the synthesis of methyl (2S)-5-chloro-2-hydroxy-1-oxo-2,3-dihydro-1H-indene-2-carboylate: a key precursor of (S)-indoxacarb.

Journal of biotechnology
The synthesis of key chiral intermediates via biocatalysis is of great importance in pharmaceutical manufacturing. In this study, we engineered a phenylacetone monooxygenase from Thermobifida fusca to enhance its catalytic activity for the synthesis ... read more 

Risk prediction of depression- and anxiety-related psychological distress in a large multistage survey sample of Chinese adults: a multi-algorithm ensemble machine-learning model with SHAP.

Journal of affective disorders
OBJECTIVE: To develop an interpretable ensemble machine-learning model to support risk stratification of elevated depression- and anxiety-related psychological distress in a large multistage survey sample of Chinese adults, and to examine nonlinear a... read more 

Computational and deep-learning-guided design of raspberry ketone synthase towards concurrent gains in activity and thermostability.

Bioresource technology
Raspberry ketone synthase is the key enzyme for raspberry ketone biosynthesis, yet its activity and thermostability remain suboptimal for industrial use. By combining computational and deep-learning-guided design, we obtained a Rubus idaeus raspberry... read more 

Emerging frontiers in genome editing: From CRISPR to next-generation technologies.

Methods (San Diego, Calif.)
Genome editing has revolutionized molecular biology. It offers precise modification of genetic material across diverse organisms. This review outlines the evolution of genome editing technologies from homologous recombination to advanced Clustered Re... read more 

Diabetic retinal disease cure accelerator: Modernizing staging and endpoints.

Progress in retinal and eye research
The "Diabetic Retinal Disease (DRD) Cure Accelerator," a joint initiative by the Mary Tyler Moore Vision Initiative and the Collaborative Community on Ophthalmic Innovation, aims to modernize clinically meaningful staging systems and endpoints for DR... read more