AI Medical Compendium

Robust orthogonal NMF with label propagation for image clustering.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026

Non-negative matrix factorization (NMF) is a popular unsupervised learning approach widely used in image clustering. However, in real-world clustering scenarios, most existing NMF methods are highly sensitive to noise corruption and are unable to eff... read more

Systemic Microvasculature Frailty: Brain frailty score predicts contrast-associated acute kidney injury after thrombectomy for stroke.

Clinical neurology and neurosurgery Jan 19, 2026

BACKGROUND: Contrast-associated acute kidney injury (CA-AKI) is a frequent complication after mechanical thrombectomy (MT). Cerebral small vessel disease (CSVD) reflects cerebral microvascular dysfunction driven by systemic vascular risk factors that... read more

Assessing the performance of quantum-mechanical descriptors in physicochemical and biological property prediction.

Digital discovery Jan 19, 2026

Machine learning (ML) approaches have drastically advanced the exploration of structure-property and property-property relationships in computer-aided drug discovery. A central challenge in this field is the identification of molecular descriptors th... read more

Decoding polyethylene formation in Cr/PNP catalyzed ethylene oligomerization via experimentally guided machine learning.

Chemical science Jan 19, 2026

Polyethylene formation remains a critical side reaction in ethylene selective oligomerization, lowering α-olefin yields and lacking reliable predictive strategies. Here, an automated workflow incorporating structural parsing and indexing was develope... read more

Artificial intelligence (AI)-based multi-organ contour quality assurance with uncertainty estimation for online adaptive radiotherapy (oART).

Machine learning. Health Jan 19, 2026

Accurate delineation of treatment targets and organs at risk (OARs) is essential to the success of radiotherapy (RT). Although artificial intelligence (AI)-based segmentation methods have successfully automated the delineation process, a reliable and... read more

DeepHybridCPI: A hybrid deep learning framework for compound-protein interaction prediction.

Journal of molecular graphics & modelling Jan 19, 2026

In bioinformatics, deep learning-based methods for Compound-Protein Interaction (CPI) prediction play a vital role in virtual screening, drug discovery, and drug repositioning. Recent improvements in computational methods have shown great possibility... read more

Radiomics-based classification and inference of subtypes and stages in social anxiety disorder using resting-state functional images.

Progress in neuro-psychopharmacology & biological psychiatry Jan 19, 2026

BACKGROUND: This study aimed to leverage advanced radiomics analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data to investigate the potential of radiomics in distinguishing patients with social anxiety disorder (SAD) from he... read more

Computational methods for spatial multi-omics integration.

Biotechnology advances Jan 19, 2026

The rapid development of spatial multi-omics technologies has enabled the simultaneous acquisition of transcriptomic, proteomic, and epigenomic information from the same tissue section. However, substantial differences in distributional properties, d... read more

ShenLingBaiZhu powder ameliorates obesity and atherosclerosis by inhibiting inflammation and apoptosis through the suppression of the TLR4/NF-κB pathway.

Journal of ethnopharmacology Jan 19, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: ShenLingBaiZhu Powder (SLBZP) is a renowned traditional Chinese medicinal formula that has been historically and clinically applied for managing obesity (OB) and atherosclerosis (AS). Nevertheless, its precise molecula... read more

Predicting mixed neurological health risks from liquid crystal monomer mixtures in indoor dust using a network-driven machine learning model.

Environmental pollution (Barking, Essex : 1987) Jan 19, 2026

Liquid crystal monomers (LCMs) are emerging indoor environmental pollutants with potential implications for the human nervous system, and different LCMs usually coexist simultaneously. However, research focusing on the neurological risks associated w... read more

Artificial Intelligence Medical Compendium