Forensic proteomics has rapidly established a significant role in forensics, particularly when DNA analysis is insufficient. Proteomics has been frequently recognized for helping reveal useful information about the origin, state and context of forens... read more
Journal of chemical information and modeling
Mar 16, 2026
Molecular representation learning often focuses on recognizing local structural patterns but struggles to capture functional groups and cross-scale interactions in a chemically meaningful way. Here, we propose the Multiscale Hypergraph Convolutional ... read more
BackgroundVascular factors contribute to dementia in approximately 20 million individuals, notably in vascular contributions to cognitive impairment and dementia (VCI). However, the lack of specific molecular biomarkers to differentiate VCI from norm... read more
Background and ObjectiveMultidrug and carbapenem resistant gram-negative bacilli bloodstream infections cause high mortality in intensive care units (ICUs). Predicting mortality can improve treatment and support end-of-life decisions. This study aime... read more
INTRODUCTION: Mandibular third molar (MTM) extractions are among the most frequent oral surgical procedures, often associated with variable surgical difficulty and postoperative complications. Artificial intelligence (AI) offers potential in predicti... read more
Journal of agricultural and food chemistry
Mar 16, 2026
High-throughput sequencing has generated vast genomic repositories that remain under-annotated, hampering enzyme discovery. We present an integrated pipeline that (i) builds a high-resolution, cross-kingdom phylogenetic database, (ii) mines candidate... read more
Fine-mapping methods, which aim to identify genetic variants responsible for complex traits following genetic association studies, typically assume that sufficient adjustments for confounding within the association study cohort have been made, for ex... read more
DU8ML, a fast and accurate machine learning-augmented DFT method for computing NMR spectra, has proven effective for high-throughput revision of misassigned natural products. In this paper, we continue with another important underexplored challenge: ... read more
OBJECTIVE: To investigate the utility of a machine learning model based on MRI radiomics in predicting the expression of Galectin-9 in rectal cancer. MATERIALS AND METHODS: MRI images and clinical information of patients with locally advanced rectal ... read more
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