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
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
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
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
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
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
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
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
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
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.