STDs

Evaluating the play fighting of rats: A sociological perspective.

BACKGROUND: Play fighting is a prominent social behavior in juvenile rats and is widely used to assess social motivation, affect, and neurobiological function. Traditional dyadic paradigms quantify how much play occurs and how it is expressed but provide limited insight into how rats select play partners. NEW METHOD: We synthesize evidence from group-based paradigms that allow animals to choose am...

Blood-based Biomarkers in Cervical Cancer: The Emerging Role of Circulating Human Papillomavirus and Tumor Deoxyribonucleic Acid.

Cervical cancer (CC) remains a major global health burden, particularly in low- and middle-income countries (LMICs), where access to timely diagnosis and surveillance is limited. Circulating tumor deoxyribonucleic acid (ctDNA), including virus-derived human papillomavirus (HPV) ctDNA, offers a promising, noninvasive biomarker for diagnosis, prognosis, and treatment monitoring in CC. A comprehensiv...

Medical Consultation and HIV Testing After AI-Based Symptom Check: Retrospective Cohort Study.

BACKGROUND: Promoting early HIV testing and patient detection is an important public health goal. In Japan, approximately 30% of the population is dia...

Multitask Artificial Intelligence-Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs.

BACKGROUND: Preoperative cardiovascular risk stratification is essential in noncardiac surgery, but conventional testing is frequently overused, incre...

Post-Pandemic Forecasting of Pediatric Acute Respiratory Infections with Deep Learning: A Multi-Pathogen, Multi-Time-Horizon Study.

BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era,...

nnU-Net-based CT segmentation of perigastric varices in sinistral portal hypertension: a multicenter study.

PURPOSE: To develop a deep learning model based on nnU-Net for automated segmentation of all perigastric veins on contrast-enhanced CT images in patie...

Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study.

BACKGROUND: Laboratory testing is a cornerstone of diagnostic decision-making in emergency departments (EDs), yet its overuse contributes substantiall...

From Correlation to Causality: Identifying Potential Environmental Drivers of Pathogenic Antibiotic-Resistant Bacteria in River Water Using Causal Machine Learning.

Pathogenic antibiotic-resistant bacteria (PARB) pose a serious public health threat within the One Health framework, yet identifying their potential e...

Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach.

BACKGROUND: Globally, pneumonia remains the single biggest cause of mortality in children under 5 years of age. This study sought to train and test a ...

Single-cell transcriptomics and machine learning unveil liquid-liquid phase separation-related biomarkers in HPV-positive cervical cancer.

BACKGROUND: Liquid-liquid phase separation (LLPS) dysregulation is a key driver of oncogenesis, yet its specific role in HPV-positive cervical cancer ...

End to End Proximal Anastomosis is the Sole Modifiable Variable in Risk Score for Loss of Patency of Aortobifemoral Artery Bypass After Index Operative Hospitalization.

OBJECTIVE: The purpose of this study was to create a risk score for loss of aorto-bifemoral artery bypass (ABF) patency utilizing preoperative, periop...

Developing and Testing a Brief Mindfulness Just-in-Time Adaptive Intervention to Reduce Stress Among Caregivers of People With Dementia: Quasi-Experimental Study.

BACKGROUND: Dementia caregiving entails chronic, fluctuating stress with downstream risks to caregivers' mental health and quality of care. Mindfulnes...

A decision-oriented framework for genomic testing across the prostate cancer continuum.

Genomic testing is now embedded in contemporary prostate cancer care, yet the clinical meaning of different genomic platforms varies substantially by ...

A predictive model for flow index performance of pit drip irrigation emitters using BP-PSO algorithm.

It is crucial to accurately obtain the flow index in designing and developing labyrinth drip irrigation emitters. This study designed a pit drip irrig...

A passive islanding detection method using deep neural bidirectional LSTM-CNN.

Microgrids based on local generation principle has advantages as reducing power losses and improving voltage profile. One of the biggest operational c...

Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology.

Multiple instance learning (MIL) has enabled substantial progress in computational histopathology, where a large amount of patches from gigapixel whol...

The Influence of Social Media Messaging on Human Papillomavirus Vaccine Attitudes and Confidence Among Adolescent Males: Group Discussion Study.

BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...

ScaHybNet: a scalogram-based hybrid ensemble network for ECG arrhythmia classification.

Cardiovascular diseases are the leading cause of death in the world, requiring the accurate and timely detection of arrhythmias to prevent sudden card...

A systematic study of conventional, sensor-induced, and machine learning-based methods for milk quality analysis and adulterant detection.

UNLABELLED: Milk is important constituent of daily food worldwide. Quality of milk is compromised because of multiple issues like sub-standard practic...

[A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].

OBJECTIVES: To develop a nomogram model combining ultrasound radiomics and clinical features and to evaluate its predictive value for pathological inv...