Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 41,451 to 41,460 of 223,853 articles

Protein Biomarkers as Molecular Tools for Forensic Biofluid Identification.

Journal of proteome research
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 

Multiscale Hypergraph Masked Autoencoder with Δ-Property Alignment for Novel Molecular Representation Learning.

Journal of chemical information and modeling
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 

Salivary metabolomics for early detection of vascular contributions to cognitive impairment and dementia: Exploring microbiome dysbiosis and sex differences.

Journal of Alzheimer's disease : JAD
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 

Machine Learning in the ICU: Predicting Mortality in Patients with Carbapenem-Resistant Gram-Negative Bacilli Bloodstream Infections.

Journal of intensive care medicine
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 

Artificial Intelligence in Predicting Surgical Problems and Postoperative Morbidity in Mandibular Third Molar Extractions.

Annals of African medicine
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 

Unlocking Enzyme Discovery: A High-Resolution Gene Cluster Database Powered by Phylogenetic Insights and Machine Learning.

Journal of agricultural and food chemistry
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 

The impact of stability considerations on genetic fine-mapping.

eLife
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 

Reaction Products Revised and Mechanisms Revisited with Machine Learning-Augmented Computational NMR.

The Journal of organic chemistry
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 

Machine learning models based on MRI predict the expression levels of Galectin - 9 expression in rectal cancer.

Abdominal radiology (New York)
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