AI Medical Compendium

Multi-modal machine learning highlights recipient genetic and clinical factors as primary drivers of post-transplant MASLD: A two-center study.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Apr 23, 2026

Learning Electronic Polarization in Molecular Systems: Vibrational Spectroscopy of Ethanol-Water Mixtures.

Journal of chemical information and modeling Apr 23, 2026

Mixtures of water and ethanol are an important solvent for biochemical reactions, as well as being a model system for hydrophobic hydration, since the ethanol molecule consists of polar and nonpolar regions. Experiments carried out over the last seve... read more

Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations.

Journal of chemical theory and computation Apr 23, 2026

We present a machine-learning-based framework for learning reduced-order representations of polymer chain conformations across coarse-grained (CG) and united-atom (UA) fidelities. By employing linear singular value decomposition and nonlinear autoenc... read more

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

Journal of Alzheimer's disease : JAD Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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

Deep learning for stenotic nares classification in brachycephalic dogs.

Veterinary research communications Apr 23, 2026

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

ACS applied materials & interfaces Apr 23, 2026

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 Apr 23, 2026

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

Artificial Intelligence Medical Compendium