COVID-19

Radiation biomarker screening and dose reconstruction based on machine learning.

PURPOSE: Nuclear emergency medical rescue is a critical component of the nuclear emergency response system, playing a vital role in safeguarding public life and health. To address the urgent need for rapid, wide-range radiation biodosimetry in nuclear emergency scenarios, this study utilized female C57BL/6J mice model to develop a machine learning (ML) framework for radiation-responsive biomarker ...

Characterizing Airborne Particulate Matter During Late-Season Soybean Production Using SEM/EDX Automated Single Particle Analyses and Machine Learning: A Preliminary Study in the Mississippi Delta.

Airborne particulate matter (PM) may originate from exposed agricultural fields and activities during dry periods. A preliminary study assessed sources of airborne PM in 2023, starting two weeks before soybean harvest. Three passive samplers were placed alongside a 101-ha field in Mississippi, USA. Collection substrates were in each sampler for two-week intervals during pre-harvest; harvest; post-...

Exhaled Breath Performance in Diagnosing Ischemic Heart Disease Utilizing a Machine Learning Model.

Ischemic heart disease (IHD) remains the leading global cause of mortality and morbidity. Current diagnostic approaches face significant limitations i...

Assessing community resilience during the first COVID-19 wave peak in a megacity in eastern China: a cross-sectional study using social media data.

OBJECTIVES: In the face of pandemics resulting from infectious disease, improving community resilience has become increasingly vital. China's sudden e...

Artificial Intelligence Based High Resolution Melting Analysis for Comprehensive Calreticulin Mutation Screening and Novel Variant Detection in Myeloproliferative Neoplasms.

INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR...

Automatic computation of breast cancer biomarkers from multiple [Formula: see text] F-FDG PET image segmentation.

Neoadjuvant chemotherapy is a standard clinical practice for tumor downsizing in breast cancer, with [Formula: see text]F-FDG Positron Emission Tomogr...

A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes.

Hepatitis B virus (HBV) infection can lead to hepatocellular carcinoma, and HBV integration into the host genome is regularly observed in the liver of...

Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.

There is a lack of automated pipelines for diagnostic classification of point-of-care tests for neglected tropical diseases. Here, we present an end-t...

Automated robotic arm system for real-time multi-parameter quality assessment of raw milk in cheese manufacturing.

Ensuring the quality of raw milk is critical for consistent cheese manufacturing, yet traditional laboratory-based testing methods are slow, labor-int...

Machine-guided design for bioengineering gene therapy vectors: Where are we and what lies ahead?

As viral vectors consolidate their role as leading vehicles in therapeutic gene delivery, the demand for finely engineered variants with optimized pro...

Machine Learning-Based Study on Xin-Pi Simultaneous Treatment Formula via Drug Nanodelivery Systems Regulating Macrophage Polarization and TEAD2/PKM2 Synergistic Repair Strategy in Myocarditis.

BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechanisms including immune dysregulation and metabolic d...

Machine Learning-Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing.

Rapid, portable, and automated determination of minimum inhibitory concentration (MIC) is critical for antimicrobial susceptibility testing in decentr...

Photoacoustic-ultrasound endoscopy for assessment of rectal cancer treatment response: A prospective study with T2-weighted MRI radiomics comparison.

Accurate identification of pathological complete response (pCR) following neoadjuvant chemoradiotherapy for locally advanced rectal cancer (LARC) is c...

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone infection consist of invasive sample collection and l...

Early laboratory-based differentiation of severe influenza pneumonia and influenza-associated encephalopathy in children using a multi-model, stability-aware machine-learning workflow: a single-center retrospective cohort study.

BACKGROUND: Influenza-associated encephalopathy and acute necrotizing encephalopathy (ANE) are rare but devastating complications of pediatric influen...

Prognostic Significance and Therapeutic Implications of Migrasome-related genes in Sorafenib Treatment for Primary Liver Cancer.

PURPOSE: This study aimed to reveal the mechanism and prognostic significance of migrasome-related genes (MGs) in primary liver cancer (PLC) treated w...

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retin...

Accelerated biological aging in bipolar disorder as determined by artificial intelligence-based electrocardiographic assessment.

BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovascular events. Recent evidence suggests that the di...

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic ef...

Identification and validation of lactylation-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.

BACKGROUND: The pathogenic mechanisms underlying rheumatoid arthritis (RA) remain elusive. Lactylation, a novel post-translational modification, may r...