Artificial Intelligence Medical Compendium

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

Showing 47,491 to 47,500 of 224,199 articles

Agentic AI and the rise of in silico team science in biomedical research.

Nature biotechnology Feb 24, 2026
Agentic artificial intelligence (AI) systems are emerging as teams of intelligent computational experts capable of rivaling human performance in labor-intensive tasks, including literature review, hypothesis formulation, data analysis and model inter... read more 

Language-based detection of depression with machine learning: systematic review and meta-analysis.

NPJ digital medicine Feb 24, 2026
Early detection of depression is critical for timely intervention. Natural language processing (NLP) and machine learning (ML) approaches have increasingly been used to automatically detect depression from text data, yet evidence regarding their perf... read more 

Three-dimensional genome reorganization foreshadows zygotic genome activation in Drosophila.

Nature genetics Feb 24, 2026
How chromatin conformation relates to chromatin state remains a central challenge in genome regulation. Here we present Pico-C, a low-input Micro-C approach that enables high-resolution, temporally resolved three-dimensional genome mapping during ear... read more 

Deep learning-based image segmentation for predicting hot carcass weight in tropical beef cattle.

Tropical animal health and production Feb 24, 2026
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Active learning in pharmaceutical 3D printing: a multi-dataset comparison.

Drug delivery and translational research Feb 24, 2026
Machine learning (ML) is expected to accelerate the developments of three-dimensional (3D) printed medicines. Despite ML's potential, the need for large datasets can hinder progression, as 3D printing remains an emerging pharmaceutical manufacturing ... read more 

Toxicogenomic Characterization of Perfluorooctanoic Acid-Associated Bladder Carcinogenesis.

Cell biology and toxicology Feb 24, 2026
OBJECTIVE: This study aims to bridge toxicological target prediction and bladder cancer transcriptomics by systematically identifying molecular signatures and pathways that converge between PFOA-associated toxicological effects and bladder cancer bio... read more 

Deep learning models for pulmonary embolism segmentation on dual-energy CT: performance analysis and image quality correlation.

BMC medical imaging Feb 24, 2026
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Integration of single-cell and bulk transcriptomics with machine learning identifies LDHA as a lactate-related diagnostic and prognostic biomarker in sepsis.

BMC infectious diseases Feb 24, 2026
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Survey on mathematical modeling of infectious disease dynamics: insights and applications.

BMC infectious diseases Feb 24, 2026
Mathematical modeling has become an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. Over the years, a wide variety of models have been developed to analyze disease dynamics and forecast epidemic tr... read more 

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions.

BMC infectious diseases Feb 24, 2026
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