Artificial Intelligence Medical Compendium

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

Showing 40,781 to 40,790 of 223,737 articles

Molecular-level insights into the role of dissolved black carbon in promoting anaerobic biodegradation of pharmaceuticals in sediments.

Bioresource technology
The role of dissolved black carbon (DBC) as an extracellular electron transfer carrier in pharmaceutical biodegradation mechanisms, along with its redox efficiency and redox-active components, remains insufficiently understood. In this study, a miner... read more 

Structural and dynamic characterization of papain-like protease ligand recognition using integrated computational and biochemical approaches.

International journal of biological macromolecules
The papain-like protease (PLpro) is a structurally conserved cysteine protease whose catalytic activity and regulatory functions are governed by a well-defined macromolecular architecture and a dynamically adaptable ligand-binding site. Understanding... read more 

EPI-CAT: Prediction of enhancer-promoter interactions based on cross-attention transformer.

International journal of biological macromolecules
BACKGROUND: Enhancer-promoter interactions (EPIs) play a central role in transcriptional regulation, yet it remains an open challenge to identify which enhancers regulate which target genes. Although deep learning methods based on DNA sequences or ge... read more 

Cellulose-based hydrogel SERS sensor for label-free detection and identification of antithyroid drugs.

International journal of biological macromolecules
Antithyroid drugs, while essential for the management of hyperthyroidism, can induce adverse reactions detrimental to patient health. Therefore, developing a rapid, quantitative method for monitoring therapeutic drug levels in blood is critical for t... read more 

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

Biochimica et biophysica acta. Reviews on cancer
The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by providing a flexible and scalable platform to generate tumor-associated or patient-specific neoantigens, which induces strong cytotoxic and helper T-cell o... read more 

Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.

Annals of epidemiology
PURPOSE: Digital cough screening for COVID-19 detection shows promise, but population differences in cough acoustics and screening accuracy require investigation. This study examined cough characteristics and COVID-19 screening performance in Lima, P... read more 

XGNN: A chemometric dual-tower model for predicting aqueous solubility.

Journal of molecular graphics & modelling
Quantitative prediction of aqueous solubility (logS) is of great importance; however, achieving high-accuracy modelling remains challenging due to the structural diversity of molecules and variations in the quality of experimental data. To improve th... read more 

Prospective evaluation of artificial intelligence-assisted monitoring of the effective withdrawal time on adenoma detection.

Intestinal research
BACKGROUND/AIMS: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may not capture mucosal examination quality. We developed an artificial intelligence (AI)-derived metric, effective withdrawal time (EWT), to quantify clea... read more 

Emerging opportunities and challenges for clinical prediction models in psychiatry: commentary, Oliver et al.

The British journal of psychiatry : the journal of mental science
Clinical prediction models use individual-level patient data to inform clinical decisions across medicine. However, few are currently used in psychiatry. Here, we examine the opportunities and challenges presented by the new generation of clinical pr... read more