AI Medical Compendium

Prediction of an fMRI-based schizophrenia biomarker from EEG using dynamic functional connectivity: a simultaneous EEG-fMRI study.

Biomedical physics & engineering express Jun 4, 2026

OBJECTIVE: Recent advances in functional magnetic resonance imaging (fMRI) have identified brain functions associated with psychiatric disorders using machine-learning classifiers that serve as potential fMRI-derived biomarkers (fMRI-BMs). Resting-st... read more

Advancement of deep learning models with whole slide image in diagnosis, subtyping and prognosis for glioma.

Progress in biomedical engineering (Bristol, England) Jun 4, 2026

Gliomas are heterogeneous primary central nervous system (CNS) tumors with diverse molecular subtypes and variable prognosis. A paradigm shift in histopathology is underway as samples are digitized into whole-slide images (WSIs). Deep learning (DL) s... read more

Mamba2SVN: a Mamba2 and reconstruction-cooperative sensitivity refinement-based variational network for parallel MRI reconstruction.

Physics in medicine and biology Jun 4, 2026

OBJECTIVE: Magnetic resonance imaging (MRI) is widely used for its excellent soft-tissue contrast and non-ionizing nature, but its long acquisition time remains a major bottleneck. APPROACH: In this work, we propose Mamba2SVN, a variational network t... read more

Fast proton transport and neutron production in proton therapy using Fourier neural operators.

Physics in medicine and biology Jun 4, 2026

Real-time adaptive proton range verification systems based on produced neutrons require accurate information on their non-isotropic momentum distributions within seconds, for which general-purpose Monte Carlo (MC) methods are too computationally expe... read more

Computational exploration of quercetin derivatives from Azadirachta indica leaf as threonine tyrosine kinase inhibitors for potential lung and pancreatic cancer treatment.

Computational biology and chemistry Jun 4, 2026

Lung and pancreatic adenocarcinomas account for substantial cancer-related mortality worldwide, with current therapeutic efficacy severely limited by the development of high drug resistance. Threonine tyrosine kinase (TTK) has emerged as both a thera... read more

Street view-based exposure to greenspace and mortality: the Multi-Ethnic Study of Atherosclerosis.

Environment international Jun 4, 2026

Higher exposure to greenspace has been associated with reduced mortality rates in predominantly White samples. However, the specific contribution of different types of greenspace exposures to these associations and whether the associations vary by ra... read more

Preliminary evidence of intra-offshore wind farm variation in epibiotic assemblages from automated ROV image analysis.

Marine environmental research Jun 4, 2026

As global energy demand grows, our oceans are becoming increasingly industrialised. In the North Sea, one of the world's most developed marine regions, offshore infrastructure is shifting from isolated hydrocarbon platforms to large multi-turbine off... read more

PMB-NN: Physiology-centered hybrid AI for personalized hemodynamic monitoring from photoplethysmography.

Computer methods and programs in biomedicine Jun 4, 2026

BACKGROUND AND OBJECTIVE: Continuous monitoring of blood pressure (BP) and hemodynamic parameters such as peripheral resistance (R) and arterial compliance (C) are critical for early vascular dysfunction detection and therapy optimization. While phot... read more

Artificial intelligence-driven elucidation of the mechanistic links between proximal joint strength and tibial loading in Medial Tibial Stress Syndrome runners: implications for precision rehabilitation.

Archives of physical medicine and rehabilitation Jun 4, 2026

OBJECTIVES: This study leveraged machine learning algorithms to observationally elucidate how proximal joint muscle activation patterns-particularly those involving the trunk and hip-are associated with the modulation of tibial loading during running... read more

Multimodal neuroimaging-based deep learning framework for pattern analysis and early prediction of neurodegenerative diseases.

Neuroscience Jun 4, 2026

Neurodegenerative diseases, such as Mild Cognitive Impairment (MCI) and Alzheimer's, pose significant challenges due to their progressive nature and late diagnosis. Early detection remains difficult, particularly when using conventional machine learn... read more

Artificial Intelligence Medical Compendium