Artificial Intelligence Medical Compendium

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

Showing 30,871 to 30,880 of 220,177 articles

ExSERA: The explainable machine learning model for skin sensitization risk assessment.

Regulatory toxicology and pharmacology : RTP
The development of new approach methodologies using machine learning offers promising alternatives to animal testing for toxicity assessment. However, to be suitable for regulatory use, machine learning models must ensure transparency and interpretab... read more 

Machine learning-based prediction of multi-level antimicrobial resistance in Klebsiella pneumoniae using whole-genome sequencing data.

International journal of antimicrobial agents
OBJECTIVES: In this study, we developed an integrated approach for accurate and comprehensive prediction of anti-microbial resistance (AMR) using whole-genome sequencing (WGS) data. METHODS: We developed machine learning (ML) models using WGS data fr... read more 

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum leptocarpum Hook.f. & Thomson and Hypecoum erectum L. It is widely distributed across northern, nort... read more 

Dataset of manually curated peptides against arthropod-borne viruses.

Data in brief
Anti-arboviral peptides are biomolecules capable of interfering with key stages of the arboviral lifecycle. We present a dataset compiling 270 peptides composed of standard amino acids with reported activity against arboviruses, along with their leng... read more 

Decoupling Visual Parsing and Diagnostic Reasoning for Vision-Language Models (GPT-4o and GPT-5): Analysis Using Thoracic Imaging Quiz Cases.

AJR. American journal of roentgenology
BACKGROUND. Vision-language models (VLMs) have potential to identify findings on radiologic imaging (i.e., visual parsing) and translate findings into diagnoses (i.e., diagnostic reasoning). Current VLMs have shown insufficient performance to support... read more 

Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Cancers present significant DNA methylation changes, which arise in a stochastic manner, marked by extensive epigenetic variation, indicative of high epigenetic instability. We aimed to evaluate the utility of epigenetic instability for cell... read more 

A scale-down mini-bioreactor for the acceleration of data-driven bioprocess optimisation in cell therapy.

Biofabrication
Cell therapies have demonstrated great potential for treating a broad range of diseases where conventional treatments have failed. However, long development times and sub-optimal processing conditions often hinder their clinical translation. To effic... read more 

Polysectoid: a hyperredundant soft-bodied robot for modeling the role of parapodia in undulation and peristalsis.

Bioinspiration & biomimetics
Biological inspiration offers new and innovative solutions to exploring challenging terrains, and implementations in bio-inspired robotics in turn offers insights to biological form and function. In particular, annelids (segmented worms), such asNere... read more 

Iranian traffic sign dataset: A step towards understanding smart cities.

Data in brief
With the rapid expansion of smart cities and the growing need for accurate and real-time analysis of road infrastructure, the development of artificial intelligence systems capable of perceiving, analyzing, and recording environmental information has... read more 

AngioCAD: A public x-ray angiography dataset and an adaptive fusion framework for stenosis detection.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is a leading cause of mortality worldwide, underscoring the need for accurate and timely diagnosis. While X-ray coronary angiography remains the clinical gold standard for detecting stenosis, it... read more