AI Medical Compendium

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

Understanding resistance in glioblastoma: insights into personalized and targeted therapeutic strategies.

Neuroscience Jun 4, 2026

Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal followed by radiation and chemotherapy, the prognosis remains poor. Even with temozolomide, the cur... read more

Artificial-Intelligence-Assisted Radiographic Assessment of Temporomandibular Joint Osteoarthritis: External Validation, Device Robustness, and Clinical Translation.

Journal of stomatology, oral and maxillofacial surgery Jun 4, 2026

Multi-omics analysis identifies CD48 and ITIH5 as potential diagnostic biomarkers and therapeutic targets for metabolic disorders associated with obesity.

Gene Jun 4, 2026

BACKGROUND: Obesity-driven metabolic disorders involve pathological remodeling of white adipose tissue (WAT), wherein fibroblasts coordinate fibrosis and inflammation. This study aimed to characterize fibroblast transcriptional heterogeneity, identif... read more

Environmental conditions and animal hosts shape the spatial transmission risks of echinococcosis in China.

Acta tropica Jun 4, 2026

Echinococcosis poses a major public-health challenge and substantial socioeconomic burdens in pastoral regions. Yet the spatial transmission risks in China and their drivers remain insufficiently understood. Using a national cross-sectional survey of... read more

VAV3 is associated with atherosclerosis and ox-LDL-induced endothelial dysfunctional remodeling.

Microvascular research Jun 4, 2026

BACKGROUND: Atherosclerosis is a major cause of ischemic stroke and is characterized by complex immune-metabolic dysregulation. VAV3, a Rho guanine nucleotide exchange factor, regulates multiple cellular processes, but its role in vascular pathology ... read more

Response to Comment on "Machine learning model for predicting interfraction motion of the seminal vesicles in prostate cancer radiotherapy".

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 4, 2026

A machine learning approach to identify active polysorbate 20 degrading hydrolases in biopharmaceutical formulations.

Journal of pharmaceutical sciences Jun 4, 2026

Polysorbate degradation by host cell-derived hydrolases presents a critical challenge in biopharmaceutical formulations. It can lead to fatty acid release, particle formation and reduced product stability. Mass spectrometry-based host cell protein (H... read more

Artificial Intelligence Medical Compendium