COVID-19

Peptide-responsive photonic hydrogels integrated with deep learning assistance for early MMP-9 detection.

Matrix metalloproteinase-9 (MMP-9) is crucial for extracellular matrix remodeling, and its dysregulation is associated with inflammatory diseases and different forms of cancer. Conventional MMP-9 detection methods such as enzyme-linked immunosorbent assay (ELISA) are limited by complexity, expensive equipment, and lengthy antibody incubation times. These limitations prevent their use in point-of-c...

NIPSNAP3B elevates mitochondrial biogenesis to attenuate lipid accumulation in childhood obesity via AMPK pathway.

OBJECTIVE: Childhood obesity (CO) has become a global epidemic, leading to rising burden of many diseases and premature death. Thus, this study was conducted to screen the mitochondria-associated biomarkers for patients with CO, as well as the involved molecular mechanism. METHODS: After downloading GSE29718 and GSE104815 datasets from GEO database, differential expression analysis was conducted 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...

Research on the molecular mechanism of celastrol targeting CTNNB1/STAT3 to inhibit uveal melanoma based on network pharmacology and multi-omics analysis.

Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol exhibits broad-spectrum anticancer properties; howev...

Modulating subjective and objective cognitive state fatigue in long COVID with repetitive anodal tDCS: results from a double-blinded randomized controlled trial.

BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet effective therapeutic interventions remain limited....

From Tissue Archives to Liquid Biopsy: Transfer Learning for MicroRNA-Based Lung Cancer Diagnosis.

Serum microRNA-based liquid biopsy holds a great application prospect in noninvasive lung cancer diagnosis. However, building an efficient serum-based...

The IBEX knowledge-base a community resource enabling adoption and development of immunofluorescence imaging methods.

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluor...

Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level.

Lactic acid bacteria (LAB) are widely used in food, health, and biotechnology sectors, where accurate strain level identification is critical. Convent...

Explainable Hybrid Deep Learning Framework Integrating MobileNetV2, EfficientNetV2B0, and KNN for MRI-Based Brain Tumor Classification.

Magnetic resonance imaging (MRI) is central to noninvasive brain tumor assessment, yet clinical uptake of artificial intelligence depends on both accu...

Predicting the Efficacy of Breast Cancer Neoadjuvant Chemotherapy Using Ultrasonography and Machine Learning.

OBJECTIVE: This study aimed to develop a machine learning model based on ultrasonography (US) and clinicopathological features to predict pathological...

Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.

Cell-free DNA (cfDNA) in plasma consists of short DNA fragments resulting from a non-random fragmentation process, with distinct fragmentomic characte...

A review of AI/ML approaches in wastewater surveillance advancement.

Wastewater-based epidemiology (WBE) has emerged as a powerful tool for early detection and monitoring of infectious diseases, particularly during pand...

Machine learning-based meat freshness evaluation: principle, pipeline and application.

Ensuring the freshness of meat is crucial for food safety and consumer trust. Traditional methods for evaluating meat freshness, such as sensory analy...

Explainable machine learning for mental health prediction from social media behavior: a nested cross-validation study with SHAP and LIME interpretability.

Social media behavior is a promising source of early indicators for psychological distress; however, predictive models often lack transparency, limiti...

Community participatory Jingchu folk pattern generation platform construction and user co-creation mechanism analysis.

In the context of the digital era, the protection and inheritance of traditional cultural heritage face unprecedented opportunities and challenges. Th...

Water hyacinth detection for autonomous navigation mapping using image segmentation cascaded classifier.

Water hyacinth (Eichhornia crassipes) is among the world's most aggressive invasive aquatic weeds. Its rapid proliferation forms thick floating mats t...

Integrative analysis identifies lactylation-related biomarkers in sepsis via bioinformatics and machine learning.

BACKGROUND: Protein lactylation is a novel post-translational modification driven by lactate and has emerged as a critical link between cellular metab...

Active Adversarial Noise Suppression for Image Forgery Localization.

Recent advances in deep learning have significantly propelled the development of image forgery localization. However, existing models remain highly vu...

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...

Retrieval Augmented Generation (RAG) for Natural Language Querying of Immunogenicity Data for Protein Drugs.

To evaluate the strengths and limitations of retrieval-augmented generative (RAG) artificial intelligence (AI) for natural language querying of biolog...