AI Medical Compendium

A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.

Scientific reports May 21, 2026

The importance of structural health monitoring, especially for bridges that have exceeded their design life, has increased significantly to reduce maintenance costs, improve safety, and optimize performance. This article proposes a combination of mac... read more

Prediction of unerupted canines and premolars widths in an Emirati population: development and validation of regression and machine learning models.

Scientific reports May 21, 2026

This study aimed to develop a more accurate model for predicting the widths of unerupted canines and premolars in Emirati children, using deep learning and machine learning techniques. Dental models of 380 Emirati individuals aged 15-30 years were co... read more

Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling.

Communications biology May 21, 2026

Evolutionary studies in bacteria have emphasized genetic and metabolic diversity, while cell-size variation has received less attention. Here we introduce MEDUSSA, a high-throughput method for precise bacterial cell-size profiling based on automatic ... 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

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

Methods (San Diego, Calif.) May 21, 2026

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

Artificial Intelligence Medical Compendium