AI Medical Compendium

Individual identification of brown bears using pose-aware metric learning.

Current biology : CB Jan 19, 2026

Identifying individuals within a species is a cornerstone of ecological and biological research, holding the key to understanding behavior, population dynamics, and conservation needs. However, conventional identification methods such as genetic samp... read more

Patient Perceptions of the Use of Artificial Intelligence in Radiology: A Scoping Review.

Academic radiology Jan 19, 2026

INTRODUCTION: Artificial intelligence (AI) is increasingly being used to support diagnostic accuracy and efficiency in radiology. While its technical potential is well recognized, little is known about how patients perceive these tools or whether the... 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

Time-Series Machine Learning for Prediction of Bronchopulmonary Dysplasia.

The Journal of pediatrics Jan 19, 2026

OBJECTIVE: To build a time-series machine learning (ML) model that improves bronchopulmonary dysplasia (BPD) prediction compared with published online calculators. STUDY DESIGN: We used a single-center, extremely low gestational age newborn cohort (i... read more

Artificial Intelligence Medical Compendium