STDs

Automated Lymph Node and Extranodal Extension Assessment Improves Risk Stratification in Oropharyngeal Carcinoma.

PURPOSE: Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be diagnosed via surgical pathology. We applied an automated artificial intelligence (AI) imaging platform integrating lymph node autosegmentation with ENE prediction to determine the prognostic value of the number of predicted ENE nodes. MATERIALS AND METHODS: We conducted a multisite, retrospective s...

Identification of Individualised Aspiration Mechanisms in Post-Stroke Dysphagia: A VFSS-Based Interpretable Machine Learning Approach.

BACKGROUND: Post-stroke dysphagia (PSD) significantly increases the risk of aspiration-related pneumonia. While prior studies have linked abnormal temporal coordination of swallowing motions to aspiration, limited efforts have been made to explore its individualised mechanisms. This study aims to identify the biomechanical mechanisms underlying aspiration in PSD by developing an interpretable mach...

PLSTM-MTGF: A deep learning fusion model enabling real-time multi-target monitoring of penicillin fermentation via near-infrared spectroscopy.

Real-time, multi-parameter monitoring is essential for optimizing industrial penicillin fermentation, yet conventional assays are slow and prone to co...

Multi-center-validated machine learning model for cervical cancer based on human papillomavirus genotyping results.

OBJECTIVE: Cervical cancer remains a leading cause of gynecologic cancer-related mortality worldwide, with human papillomavirus (HPV) testing being a ...

Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape.

Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care. This clinician-focused review synthesizes current...

Systematic machine learning approach for cerebral aneurysm feature selection and rupture status classification.

BACKGROUND: Current methods of intracranial aneurysm rupture risk assessment in the clinical setting depend on user measurements of morphological fact...

A pilot study: Incorporating Treponema pallidum antigens into machine learning models for accurate syphilis treatment outcome assessment.

As the reliability of nontreponemal tests for evaluating syphilis treatment efficacy is increasingly questioned, we propose an optimized approach usin...

Combatting antimicrobial-resistant Neisseria gonorrhoeae: new antibiotics and the pipeline of antigonococcal therapeutics.

PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resist...

Diagnosis of head and neck cancer by AI-based tumor-educated platelet RNA profiling of liquid biopsies.

Over 95% of head and neck cancers are squamous cell carcinoma (HNSCC). HNSCC is mostly diagnosed late, causing a poor prognosis despite the applicatio...

High-resolution dataset (2017-2023) of physical-geographical predictors for machine learning modelling of fluvial flooding: the Gidra river case, Slovakia.

This data article releases geospatial predictor files for a section of the Gidra River (western Slovakia). Based on the last cycle of the Preliminary ...

IDH Mutation Classification in Nonenhancing Gliomas: A Comparison of Habitat and Whole-Tumor Transfer Learning Strategies.

BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status is an important biomarker for the diagnosis and management of nonenhancing gliomas, undersc...

Development of a predictive model for eosinophilia in patients treated with ampicillin/sulbactam or piperacillin/tazobactam.

AIM: We aim to identify risk factors for antibiotic-induced eosinophilia in hospitalized patients receiving penicillin/beta-lactamase inhibitor therap...

Redefining oropharyngeal cancer in the HPV era: integrating precision medicine and immunotherapeutic frontiers.

Oropharyngeal cancer (OPC) is increasingly driven by human papillomavirus (HPV), particularly HPV16, marking a shift in its epidemiology, prognosis, a...

Deep learning model using contrast-enhanced CT for predicting overall survival in oropharyngeal squamous cell carcinoma: a prospective multicenter study.

BACKGROUND: Accurate risk stratification for overall survival (OS) in patients with oropharyngeal squamous cell carcinoma (OPSCC) is critical for guid...

Ergonomic handheld chip: An instrument-free RPA-CRISPR platform for rapid home self-testing.

Global outbreaks of viral infectious diseases underscore the urgent need for low-cost, instrument-free, and user-friendly molecular testing platforms ...

Apparent Diffusion Coefficient Magnetic Resonance Imaging as a Predictive Biomarker for Hypoxia, Treatment De-escalation, and Recurrence in Human Papillomavirus-Associated Oropharyngeal Cancer.

PURPOSE: To evaluate whether quantitative diffusion-weighted magnetic resonance imaging derived apparent diffusion coefficient (ADC) parametric values...

Modeling homosynaptic and heterosynaptic plasticity with a single neuromemristive synapse.

INTRODUCTION: Efforts are being made to design a brain-like intelligence due to its robustness, synaptic modification (i.e., learning and memory), ana...

A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.

KEY POINTS: Proteomics analyses consistently identified nine independent protein predictors for CKD in both Chinese and European participants with typ...

A rural-to-center artificial intelligence model for diagnosing Helicobacter pylori infection and premalignant gastric conditions using endoscopy images captured in routine practice.

Diagnosing Helicobacter pylori infection and premalignant gastric conditions typically requires 13C urea breath testing or histological assessment, wh...

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and...