Artificial Intelligence Medical Compendium

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

Showing 9,281 to 9,290 of 208,566 articles

PLATE-VS: a web server for protein-ligand assay curation and cross-target virtual screening datasets.

Nucleic acids research
PLATE-VS (Protein-Ligand Affinity-based Target Evaluation-Virtual Screening, https://www.drugbench.org/) is a free, openly accessible web server that integrates protein structural information, ligand activity data, and property-matched decoys to prod... read more 

Machine learning assisted stability and CO2 reduction reaction activity prediction of single atom alloys.

Nanoscale
Single-atom alloy catalyst design requires a synergistic understanding of stability and activity. Herein, density functional theory (DFT) and machine learning (ML) were integrated to investigate the stability and CO2 reduction activity of 1131 SAA co... read more 

Matrix-Boosted Electrochemiluminescence Biosensor for Ultrasensitive Exosome Detection and Automated Phenotype Discrimination.

ACS sensors
Accurate quantification and phenotypic discrimination of exosomes in complex biological fluids remain technically challenging sensing issues, yet they are essential for early cancer diagnosis. To address this challenge, an ultrasensitive electrochemi... read more 

Interpretable machine-learning prognosis of mycetoma from routine clinical data.

Transactions of the Royal Society of Tropical Medicine and Hygiene
BACKGROUND: Mycetoma is a chronic tropical infection with limited tools for predicting treatment outcomes. METHODS: Routinely collected demographic, clinical, imaging, etiological, treatment, and follow-up data from 1,084 patients at the Mycetoma Res... read more 

AI-driven triage classification at the 1 Gy threshold using dietary supplements and portable OSL dosimetry.

Radiation protection dosimetry
In radiological emergency scenarios, the rapid distinction between individuals exposed below or above the 1 Gy triage threshold is essential for effective medical sorting and optimized resource allocation. This study proposes a binary classification ... read more 

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology
Drug-drug interaction (DDI) prediction remains a significant challenge due to the complexity of biological systems and the growing demand for precise predictions. Recent advances in deep learning have been successfully applied to DDI prediction. Howe... read more 

Are We Underestimating Overfitting?

Journal of chemical information and modeling
It is a well-established dogma in quantitative structure-activity relationships (QSAR) that parsimonious models generalize best and that overfitting must be avoided. As the number of fitted parameters in a model approaches the number of training exam... read more 

Indolizine Compound Selection for HPV Anticancer Active Prediction Using CNN Classifier with ADME Descriptors.

Assay and drug development technologies
Despite the significant progress made in developing different in silico methodology for structure activity research over the past few decades. The ability to predict correlation structure activity (CSA) from absorption distribution metabolism excreti... read more 

Access to maintenance and repair services for wheelchairs: a qualitative study of multi-stakeholder perspectives.

Disability and rehabilitation. Assistive technology
PURPOSE: Wheelchair maintenance and repair services are critical for sustaining mobility, independence, and participation in daily activities. However, systemic inefficiencies, policy constraints, and workforce shortages contribute to prolonged repai... read more 

Development and Validation of an Image-Based Deep Learning Tool for Identification of Xylazine-Associated Wounds.

Journal of addiction medicine
OBJECTIVES: Accurate identification of xylazine-associated wounds (XAWs) is critical to providing timely and optimal management; however, discerning the etiology of wounds by appearance alone poses a clinical challenge. This study sought to develop a... read more