Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
For modality translation tasks, diffusion models based on x-prediction offer faster and more accurate image generation compared to traditional ϵ-prediction. However, they often suffer from training-inference inconsistency (TII), which arises from a m... read more
European journal of medicinal chemistry
Jan 16, 2026
Aminergic G protein-coupled receptors (GPCRs) are heavily involved in the physiological functions of the human body and represent prominent drug targets for numerous diseases. Despite extensive work over the years, knowledge gaps persist as not all a... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
The core of mining point of interest (POI) data is to learn the user preference representation. However, existing POI sequence learning methods often serve downstream tasks in an end-to-end manner. It lacks the ability to support multiple downstream ... read more
BACKGROUND/PURPOSE: The prevalence of medical and technical jargon makes the dissemination of healthcare information to patients challenging. Plain language (PL) writing, a style of written communication that strives to employ clear and concise langu... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
Graph contrastive learning methods based on the information noise contrastive estimation (InfoNCE) loss have made significant advances in graph representation learning. However, existing methods primarily focus on optimizing graph augmentation strate... read more
OBJECTIVE: Deep brain stimulation (DBS) of the centromedian nucleus (CM) of the thalamus is a promising treatment for drug-resistant epilepsy, Tourette syndrome, disorders of consciousness, and chronic pain, particularly when other surgical options a... read more
Although protein-RNA interactions are crucial for many biological processes, predicting their binding free energies (ΔG) is a challenging task due to limited available experimental data and the complexity of these interactions. To address this issue,... read more
Synonymous single-nucleotide variants (sSNVs) are increasingly recognized as contributors to disease, yet existing variant annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed t... read more
INTRODUCTION: The aim of this study was to develop and apply an artificial intelligence (AI) algorithm to aid the clinical decision-making process for managing mandibular retained second deciduous molars (SDM) with no permanent successors using machi... read more
Journal of magnetic resonance imaging : JMRI
Jan 16, 2026
BACKGROUND: FDG-PET aids presurgical epilepsy evaluation but is limited by access and radiation exposure. PURPOSE: To evaluate synthetic FDG-PET generated from T1-weighted imaging and resting-state fMRI metrics. STUDY TYPE: Retrospective. POPULATION:... read more
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