AIMC Topic: Biomarkers

Clear Filters Showing 11 to 20 of 2219 articles

Cell death-associated genes as novel diagnostic biomarkers for autism spectrum disorder.

Apoptosis : an international journal on programmed cell death
Autism spectrum disorder (ASD) involves neuroinflammation and dysregulated neuronal death but lacks objective diagnostic biomarkers. This study investigated whether cell death could serve as a molecular basis for ASD diagnosis. We identified cell dea...

Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets.

Scientific reports
Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder. It features elevated pulmonary arterial pressure, which leads to right ventricular failure and increased mortality. PH's insidious nature, with no specific clinical symptoms, hind...

Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis.

Scientific reports
Acute myocardial infarction (AMI) stands as a major contributor to mortality and disability worldwide, with obesity playing a significant role in its development. This study aims to investigate potential biomarkers associated with obesity-related gen...

Exploring hypoxia- and cuproptosis-related biomarkers in periodontitis based on transcriptome and single-cell analysis.

Clinical oral investigations
BACKGROUND: Periodontitis (PD) is a chronic, multifactorial inflammatory disorder characterized by the progressive destruction of periodontal tissues. Increasing evidence indicates that the dysregulation of hypoxia-related genes (HRGs) plays a pivota...

Lymphocytes and related inflammatory factors as predictors of metabolic syndrome risk in shift workers: A machine learning approach based on large-scale population data.

PloS one
BACKGROUND: Metabolic syndrome (MetS) is characterized by chronic inflammation and can be worsened by circadian disruption, which is common among shift work. Machine learning can predict the risk of MetS in shift workers using inflammatory biomarkers...

HepatoAI: Machine-Learning-Assisted Nano-enhanced Point-of-Care System for Personalized Precise Diagnosis of Hepatocellular Carcinoma.

Nano letters
Early diagnosis significantly improves survival rates for hepatocellular carcinoma (HCC), yet traditional methods face limitations, including specialized instruments/personnel and prolonged reporting cycles. While lateral flow immunoassay (LFA) offer...

AstroID resource: a scalable, relational database structure for longitudinal biomarker discovery.

Journal for immunotherapy of cancer
BACKGROUND: The biological sciences are producing increasingly larger datasets for biomarker discovery. While common data models have been developed for medical terms as they relate to patient health outcomes, a data model that supports longitudinal ...

Characterizing endotypes in chronic rhinosinusitis: emerging research and clinical applications.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: The purpose of this study is to describe why this review is timely and relevant. Endotyping, the organization of rhinologic inflammation around immunologic precepts, has evolved from a research subject to a clinically relevant tool...

A baseline study of interpretable machine learning using GC-MS breath VOCs for classifying asthma, bronchiectasis, and COPD.

Scientific reports
Accurate differentiation among asthma, bronchiectasis, and chronic obstructive pulmonary disease (COPD) remains a critical challenge due to overlapping clinical symptoms and limitations of conventional diagnostic tools. This study establishes a trans...

Systemic Sclerosis-Associated Interstitial Lung Disease: Improved Understanding and Advances in Management.

British journal of hospital medicine (London, England : 2005)
Interstitial lung disease (ILD), a common manifestation of systemic sclerosis (SSc), has the highest organ-specific morbidity and mortality, particularly in patients with diffuse cutaneous SSc (dcSSc). Recent advances in diagnostics-including artific...