AI Medical Compendium

Radiomics analysis of restaging MRI for detection of pathological complete response in locally advanced rectal cancer.

European journal of radiology open May 21, 2026

PURPOSE: magnetic resonance imaging (MRI)-based radiomics has emerged as a promising approach for non-invasive prediction of treatment response in rectal cancer. This study aimed to develop and validate a machine learning model based on radiomic feat... read more

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.

Oncology letters May 21, 2026

The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes ... read more

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

Scientific reports May 21, 2026

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 May 21, 2026

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 May 21, 2026

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 May 21, 2026

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 May 21, 2026

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 May 21, 2026

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 May 21, 2026

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 May 21, 2026

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

Artificial Intelligence Medical Compendium