AI Medical Compendium

artificial intelligence-enabled precision medicine for inflammatory skin diseases.

The Journal of investigative dermatology Feb 13, 2026

Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing dermatology. Generative AI and machine-learning approaches offer opportunities to enhance the diagnosis and treatment of autoimmune and inflammatory sk... read more

Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

STAR protocols Feb 13, 2026

The scPrediXcan framework enables cell-type-specific transcriptome-wide association studies (TWASs) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features. We present a protocol for scPrediXcan: tra... read more

Minor salivary gland biopsy in Sjogren's disease: a diagnostic and prognostic tool toward precision medicine.

Current opinion in immunology Feb 13, 2026

Minor salivary gland biopsy occupies a distinctive position in the evaluation of Sjögren disease (SjD), offering diagnostic and prognostic insights that are rarely achievable in other systemic autoimmune conditions. It contributes essential diagnosti... read more

Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy.

Journal of medical imaging and radiation sciences Feb 13, 2026

INTRODUCTION/BACKGROUND: Segmentation of gastrointestinal (GI) organs-at-risk (OARs) is a critical yet time-consuming step in MR-guided adaptive radiotherapy (MRgRT), with manual delineation prone to inter- and intra-observer variability. While deep ... read more

Ozone concentration prediction using machine learning models integrated with 115 volatile organic compound measurements and dimensionality reduction techniques.

Ecotoxicology and environmental safety Feb 13, 2026

High-quality prediction of ozone concentrations is essential for formulating effective environmental policies. The integration of monitoring data of volatile organic compounds (VOCs), key precursors in ozone formation, through dimensionality reductio... read more

Deep learning for psychiatric genomics: from tools to applications.

Current opinion in genetics & development Feb 13, 2026

The genetic architecture of psychiatric disorders is highly complex, with genome-wide association studies implicating thousands of risk loci. A central challenge is that most of these variants are located in noncoding regions, making it difficult to ... read more

A machine learning model to identify pulmonary embolism in patients admitted to intensive care.

Computers in biology and medicine Feb 13, 2026

BACKGROUND: Pulmonary embolism (PE) is a leading cause of preventable death, yet statistical prediction models have shown inconsistent validity. Our primary objective was to determine if a machine learning model trained with data routinely collected ... read more

Efficient global accuracy estimation for protein complex structural models using multi-view representation learning.

Cell reports methods Feb 13, 2026

With the rapid advancement of protein structure prediction techniques and the explosive growth of predicted structural data, existing estimation of model accuracy (EMA) methods struggle to balance computational efficiency with estimation performance.... read more

Multifunctional biosensors redefining liquid biopsy: advancing simultaneous multianalyte detection.

Trends in biotechnology Feb 13, 2026

Liquid biopsy has revolutionized noninvasive disease diagnosis and monitoring by detecting circulating biomarkers such as tumor-derived DNA, miRNAs, proteins, exosomes, and circulating tumor cells in body fluids. Conventional single-analyte approache... read more

Large Language Models Solving the European Diploma in Radiology: A Comparative Evaluation.

Academic radiology Feb 13, 2026

RATIONALE AND OBJECTIVES: Rapid advancements in multimodal large language models (LLMs) highlight their expanding potential in radiology education and assessment. This study aims to evaluate and compare the performance of three state-of-the-art LLMs;... read more

Artificial Intelligence Medical Compendium