Artificial Intelligence Medical Compendium

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

Showing 10,201 to 10,210 of 208,952 articles

Phosphorylation tunes strain-specific protein condensation during rotavirus replication organelle assembly.

The EMBO journal May 26, 2026
In many viruses, intrinsically disordered proteins (IDPs) drive the formation of replicative organelles via liquid-liquid phase separation (LLPS). In species A rotaviruses, the disordered protein NSP5 forms condensates with NSP2, but its high sequenc... read more 

Eroding heat resilience in South Asian cities under observed warming trends.

Scientific reports May 26, 2026
Rapidly urbanising South Asian cities face increasing thermal risk, but comparative, physically grounded studies of their structural capacity to withstand heat loading are rare. We utilize a stacked ensemble of five machine learning architectures (Ra... read more 

Personalized neoadjuvant treatment regimen selection in locally advanced rectal cancer based on regimen-specific response modeling.

NPJ digital medicine May 26, 2026
Neoadjuvant therapy is standard for locally advanced rectal cancer (LARC), yet regimen selection remains population-based, risking over- or undertreatment. We developed and validated a deep learning framework that provides a generalizable paradigm fo... read more 

Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia.

Leukemia May 26, 2026
Flow cytometry (FC) is essential for detecting measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL), but its use is limited by the expertise and time required for manual analysis. We developed an artificial intelligence (AI) pipeli... read more 

Development of soil surface wetness models using machine learning techniques in the selected sites in Punjab, North-Western India.

Scientific reports May 26, 2026
Accurate prediction of soil surface wetness (SSW) is vital for effective land management and resource optimization, particularly in sensitive ecosystems like the Western Himalayas. The main objective of the present study is to improve the accuracy of... read more 

A machine learning system enables just-in-time risk-stratified sepsis evaluations in the neonatal intensive care unit.

Journal of perinatology : official journal of the California Perinatal Association May 26, 2026
INTRODUCTION: NICU sepsis evaluation balances rapid antibiotic administration for mortality reduction against unnecessary treatment. Objective risk stratification optimizes resource allocation. METHODS: We retrospectively studied 191 sepsis evaluatio... read more 

Machine learning-driven evaluation of mechanical and microstructural properties of agro-waste-derived geopolymer concrete.

Scientific reports May 26, 2026
The growing demand for sustainable construction materials has accelerated research into eco-friendly alternatives to traditional Portland cement. This research explores the potential of geopolymer concrete formulated from agricultural-waste ashes as ... read more 

The landscape of virtual simulation in undergraduate dental education with implications for artificial intelligence incorporation.

NPJ digital medicine May 26, 2026
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial intelligence (AI) incorporation necessitate an evidence synthesis to clarify current landscapes, challen... read more 

AI-IoT driven system for agricultural pest outbreak risk prediction.

Scientific reports May 26, 2026
Invasive pests pose a significant threat to agricultural production, particularly maize crops, with severe implications for food security. Timely detection of pest development stages and accurate prediction of outbreak risks are essential for effecti... read more 

Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.

Scientific reports May 26, 2026
The timing of the initial spring water-level rise represents a key indicator of seasonal hydrological transition in snowmelt-dominated river systems of high-latitude regions. This study evaluates the capability of ensemble machine learning (ML) model... read more 
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