Artificial Intelligence Medical Compendium

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

Showing 27,361 to 27,370 of 218,826 articles

Leveraging routine clinical data for dementia risk prediction using machine learning.

Journal of Alzheimer's disease : JAD
BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow disease progression, improve patient outcomes, and reduce healthcare costs. This study aims to develop machine learning models to predict dementia risk... read more 

Machine Learning Analysis of Serum Metabolomics for Multi-Disease Classification and Proteome-Metabolome Pathway Insights in T2D, IBD, and CRC.

Journal of proteome research
Type 2 diabetes (T2D), inflammatory bowel disease (IBD), and colorectal cancer (CRC) share overlapping metabolic alterations that hinder early, disease-specific diagnosis. Using publicly available serum metabolomics data sets (T2D: ST003390; IBD: ST0... read more 

Development trends and translational opportunities in self-assembled herbal bioactive materials research.

Discover nano
BACKGROUND: Self-assembled herbal bioactive materials (SAHBMs) represent a rapidly advancing frontier integrating phytochemistry, supramolecular chemistry, and biomedical engineering. By leveraging the intrinsic pharmacological activity and self-orga... read more 

A structure-based virtual screening approach to identify novel anaplastic lymphoma kinase inhibitors.

Journal of molecular modeling
CONTEXT: Anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase that plays a crucial role in cellular signaling and is implicated in several cancers, including anaplastic large cell lymphoma (ALCL), non-small cell lung cancer (NSCLC), and neu... read more 

Explainable Machine Learning and Deep Learning Models for Understanding Operational and Degradation Effects in Nafion Membranes.

ACS applied materials & interfaces
Understanding how chemical degradation influences proton transport in Nafion membranes is critical for improving the reliability of proton exchange membrane fuel cells (PEMFCs). Here, we develop interpretable Machine Learning (ML) and Deep Learning (... read more 

IL11⁺ fibroblasts are implicated in non-response to anti-TNFα via fibrosis in inflammatory bowel disease.

JCI insight
Inflammatory bowel disease (IBD) is frequently accompanied by intestinal fibrosis, with non-response (NR) to long-term anti-tumor necrosis factor α (anti-TNFα) therapy occurring in approximately 23-46% of patients. Integrated analysis of single-cell ... read more 

DNA methylation-based classification of hematolymphoid neoplasms.

Blood advances
Accurate pathological diagnosis of hematolymphoid neoplasms (HLN) is often challenging due to their complexity and heterogeneity. Genome-wide DNA methylation profiling has emerged as a valuable tool for tumor classification and diagnosis across malig... read more 

Advancing collagen-related pathology assessment through second-harmonic generation imaging.

Journal of microscopy
Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second-harmonic generation (SHG) imaging has emerged as a powerful label-free modality for assessing collagen. This offers submicron resolut... read more 

YeastSAM: A Deep Learning Model for Accurate Segmentation of Yeast Cells.

Molecular biology of the cell
Cell segmentation-the process of defining cell outlines in microscopy images-is essential for quantitative image analysis. Segmentation of budding yeast is challenging due to their asymmetric cell division and mother-bud morphology. Consequently, div... read more