STDs

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in multidisciplinary PFT clinical application pathways and management. Current challenges remain in identifing target population, implementing pathways within and outside medical institutions, allocating hardware, training personnel, managing informatio...

The emergence of superficial dermatophytosis due to Trichophyton indotineae and Trichophyton mentagrophytes genotypes VII and II* in New York: a need for comprehensive testing approaches.

We report a rapid increase in dermatophyte infections in New York City and surrounding counties from 2022 to 2024. Reported cases include 135 of Trichophyton indotineae (Ti), 39 of Trichophyton mentagrophytes genotype VII (TmVII), and 14 of T. mentagrophytes genotype II* (TmII*). These numbers highlight the urgent need for rapid, high-throughput identification, drug-resistance testing, and surveil...

Large-scale AI analysis reveals missed opportunities in albuminuria testing and disease-modifying therapy implementation.

BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD), associated with adverse cardiovascular and renal...

Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.

INTRODUCTION: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medic...

CRISPR-Cas system: recent advancements in prompt diagnosis of high-risk HPV genotypes in cervical cancer.

INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human...

Deep Learning Segmentation of Pectoralis Muscle Volume at CT and Comparison with Pectoralis Muscle Area in COPD.

Purpose To develop a deep learning model for segmenting pectoralis muscle volume (PMV) at CT and evaluate the reproducibility, group differences, and ...

Designing a Carbohydrate Counting App for Young Adults With Type 1 Diabetes: Usability Testing Interview Study.

BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime insulin doses; however, it is often burdensome. Mobil...

Emerging frontiers in cervical cancer diagnostics: Recent innovations in biosensors for HPV detection.

Cervical cancer (CC) is recognized as a significant health concern impacting females worldwide. The pathogenicity of CC is associated with human papil...

Machine Learning-driven Prioritisation of Lipoprotein(a) Testing: Model Development and Validation.

AIMS: Elevated lipoprotein(a) [Lp(a)] is a common risk factor for cardiovascular disease (CVD) affecting ∼1.4 billion people globally, with novel trea...

Database of Chemicals for Organophosphorus (DCOP): An Information Application Platform for Organophosphorus Compounds.

Organophosphorus compounds (OPCs) are widely applied in diverse industries, yet their continuous release across the full life cycle poses significant ...

Cervical cancer image analysis: Detection and segmentation using self-guided quantum GANs and musical chairs optimization.

The main cause of cervical cancer emerges from long-term Human Papillomavirus (HPV) infections damaging the cervix. The detection methods produced by ...

Evaluating the Performance of Mobile Machine-Learning Platforms for Syphilis Symptom Screening.

We evaluated the performance of three machine-learning models for classifying 39 cases of primary and secondary syphilis using associated meta-data an...

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. METHODS: Electr...

Machine learning model for predicting improvement in left ventricular systolic function in patients with heart failure and reduced ejection fraction.

BACKGROUND: About one-third of patients with heart failure (HF) with reduced ejection fraction (HFrEF) may demonstrate left ventricular ejection fract...

Veteran oropharyngeal cancer outcomes in the modern era: a multi-institutional retrospective analysis.

OBJECTIVE: To define oncologic outcomes in Veterans in the modern era using a multi-institutional cohort designed to support development and validatio...

BlotDx: A deep learning tool for Western blot-based diagnostics.

BACKGROUND: Western blot (WB) is the gold standard for herpes simplex virus (HSV-1/HSV-2) serology but requires manual interpretation by trained labor...

MicroRNAs in penile cancer: challenges, opportunities, and translational perspectives.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression, and dysregulated miRNA expression has been implicated in multiple cancer h...

Machine learning and the role of the vaginal and fecal microbiome in miscarriage: a matched case-control study.

Miscarriage occurs in approximately 15% of all pregnancies, and recent studies have suggested a potential role of the microbiome. A nested case-contro...

Initial experience of deep learning reconstruction algorithm in lung kernel: clinical usefulness for lung nodules at ultra-low-dose protocol.

OBJECTIVES: TrueFidelity (TF), a deep learning image reconstruction algorithm that was originally available only in standard kernel, has recently beco...

Towards the future of Endocrine Laboratory Medicine: defining the role of laboratory medicine specialists to strengthen the clinical-biological partnership - a joint opinion paper of EFLM-C:YS, IFCC TF-YS, and ESE-EYES.

Clinical endocrinology relies critically on high-quality biochemical data for diagnosis, therapeutic decisions, and long-term patient monitoring. As e...