STDs

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 challenging. Although CRISPR-Cas systems offer high specificity, their integration into Multiplexed platforms suitable for near-patient testing has been limited. Here, we introduce a biosensing platform that combines CRISPR-initiated enzymatic amplification with quantum-dot encoded microbeads and deep-l...

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 other men who have sex with men (MSM). Despite the effectiveness of HIV preexposure prophylaxis (PrEP) in preventing HIV acquisition, uptake among MSM remains suboptimal. Motivational interviewing (MI) has demonstrated efficacy at increasing PrEP uptake among MSM but is resource-intensive, limiting scal...

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, affecting millions worldwide. Microscopic examinatio...

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

Doxycycline (DC), a second-generation tetracycline antibiotic, is extensively used in human and veterinary medicine for its broad-spectrum activity, f...

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 patients to a higher radiation dose and increased...

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 events (MACE) within 30 days in emergency departmen...

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 persistence, bioactivity, and incomplete removal ...

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 an expanding range and increasing public health b...

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 the growing prevalence of antimicrobial resistance c...

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) and standard-dose thick-slice hybrid iterative rec...

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 challenging due to nonspecific symptoms and complex immune e...

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 incidence and mortality rates are largely attributed t...

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 radiomics (Rad), subregional radiomics (SRad), an...

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 role in retinal pathology and disease progression i...

The Role of Chemical Engineers in the Pharmaceutical Industry.

Chemical engineers have played a vital role in the pharmaceutical industry for more than a century, bridging the gap between scientific discovery and ...

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they have variable efficacy and adverse effects among pa...

Development of Betalactam-Predictor: A Clinical Decision Tool for Delabeling Low-Risk Betalactam Allergy Patients. Initial Validation in Penicillin Allergy.

BACKGROUND: A label of betalactam (BL) allergy is estimated in around 10% of the population in their medical records. Second-line choices carry signif...

Ai derivation and exploration of antibiotic class spaces.

PURPOSE: The rapid evolution of antibiotic-resistant bacteria poses an urgent global health crisis. A key gap in current antibiotic discovery approach...

Stem Cell-Derived Organoids as a Next-Generation Platform for Drug Toxicity and Efficacy Testing: Toward Replacing Animal Models in Regulatory Science.

Three-dimensional, self-organizing structures derived from stem cells, known as organoids, represent a groundbreaking advancement in preclinical drug ...

Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection.

Artificial intelligence (AI) is reshaping cervical cancer screening by automating interpretation of cytology, colposcopic, and related imaging to impr...