STDs

Predicting porosity in composite high-pressure hydrogen vessels using augmented fuzzy cognitive AI and manufacturing process parameters.

High-pressure hydrogen storage vessels type IV (HPV), made from carbon fiber-reinforced composites, ...

Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.

BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related info...

Mapping the global research landscape on HPV vaccine hesitancy: a machine-learning based bibliometric analysis.

Design and predictive modeling of a veterinary drug detection sensor in paddy field water based on artificial neural networks.

For rapid real-time detection of veterinary drug residues in paddy field water, we developed a novel...

A theory for self-sustained balanced states in absence of strong external currents.

Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dyn...

Infectious disease diagnosis by artificial intelligence (AI): Differences in patient backgrounds and symptoms between antigen test positives and novel AI-powered pharyngeal endoscopy test positives.

This study aimed to identify differences in patient background and symptoms between individuals who ...

Optimizing machine learning-based identification of sexual health influencers for HIV self-testing distribution among men who have sex with men in China: a secondary analysis of a quasi-experimental trial.

BACKGROUND: Secondary distribution of HIV self-testing can expand testing among men who have sex wit...

CRISPR-initiated exponential amplification on fluorescently-barcoded microspheres for deep learning-assisted multiplexed HPV detection.

Rapid, low-cost, and multiplexed nucleic acid testing is essential for human health but remains chal...

Evaluation of an Artificial Intelligence Conversational Chatbot to Enhance HIV Preexposure Prophylaxis Uptake: Development and Usability Internal Testing.

BACKGROUND: The HIV epidemic in the United States disproportionately impacts gay, bisexual, and othe...

AIR-LEISH: A Dataset of Giemsa-Stained Microscopy Images for AI-based Leishmania amastigotes Detection.

Leishmaniases is a parasitic disease caused by the Leishmania parasite, transmitted by sandflies, af...

A Comprehensive Review of Analytical Techniques for Doxycycline and Its Metabolites.

Doxycycline (DC), a second-generation tetracycline antibiotic, is extensively used in human and vete...

Machine learning for optimizing mAs in KUB radiography with metal implants.

BACKGROUND AND PURPOSE: Kidney-ureter-bladder (KUB) radiography is a common examination that exposes...

Multisite derivation of a machine learning algorithm using high sensitivity troponin to predict major adverse cardiac events in the emergency department.

OBJECTIVE: To develop a machine learning (ML) algorithm to stratify risk for major adverse cardiac e...

Experimental and ALO-optimized machine learning interpretable models for pharmaceutical adsorption onto raw bentonite.

Pharmaceutical contamination of aquatic systems poses an increasing environmental concern due to the...

From qualitative prediction to quantitative insight: combined meteorological patterns and regional dynamics of severe fever with thrombocytopenia syndrome in Liaoning Province, China, 2010-2024.

BACKGROUND: Severe fever with thrombocytopenia syndrome(SFTS) is an emerging tick-borne disease with...

Predicting antimicrobial resistance in Staphylococcus aureus using machine learning: Insights from a five-year surveillance study.

Staphylococcus aureus is a leading cause of both community- and hospital-acquired infections, and th...

Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT.

OBJECTIVES: To compare image quality between low-dose thin-slice deep-learning reconstruction (DLR) ...

Integrated bioinformatics and machine learning deciphering IL12RB2 and FYN as key immune biomarkers in brucellosis.

BACKGROUND: Brucellosis remains a major zoonotic threat worldwide, and early diagnosis is challengin...

Cervical cancer cell prediction and detection with high test accuracy based on a reliable automated system.

Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. The increasing inci...

MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study.

PURPOSE: To develop and validate an MRI-based fusion model (Rad-SRad-SwinT) integrating conventional...

Identification of Chlamydia pneumoniae and NLRP3 inflammasome activation in Alzheimer's disease retina.

Chlamydia pneumoniae is an intracellular bacterium implicated in Alzheimer's disease (AD), but its r...