Hepatitis

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia.

BACKGROUND: Open defecation is the disposal of human feces in fields, bushes, forests, open waterways, beaches, and other open areas. It worsens the environment, contaminates drinking water sources, causes malnutrition and low school attendance in children, and aids in the spread of diseases like cholera, diarrhea, dysentery, typhoid, polio, and hepatitis A. The purpose of this study was geospatia...

Prediction of ICU length of stay, hospital discharge outcomes and discharge location among ICU-admitted patients diagnosed with viral hepatitis using machine learning: a retrospective cohort study of the MIMIC-IV database.

BACKGROUND: Hepatitis, a disease characterised by inflammation of the liver, is a leading global health challenge that contributes to over 1.3 million deaths annually, with hepatitis B and C accounting for many of these fatalities. Intensive care unit (ICU) management of patients is particularly challenging due to the complex clinical care and resource demands. Despite advancements in ICU predicti...

Identifying communities at elevated risk of hepatitis C infection in Los Angeles County: an ecological study using machine learning.

BACKGROUND: Identifying communities disproportionately affected by hepatitis C infection is essential for targeted prevention and resource allocation....

Multi-cohort transcriptomic analysis with machine learning identifies interferon-related candidate genes in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with complex molecular mechanisms. Although transcriptomic studies have revea...

A multidimensional strategy for identifying quality markers of Radix ginseng-Schisandra chinensis in the disruption of the inflammation-cancer transformation process of hepatocellular carcinoma based on metabolic regulation and chemical properties.

Comprehensive quality control is essential for ensuring the efficacy and safety of traditional Chinese medicines (TCMs). However, current quality cont...

Pentagonal Porphyrin-Based Covalent Organic Framework with Switchable Dual-Enzyme Activity for Adaptive Catechol Sensing.

The development of intelligent pollutant-monitoring systems demands high-performance adaptive nanozymes with robust catalytic activity across broad pH...

Metabolomic machine learning predictor for the diagnosis of alcohol-associated liver disease.

BACKGROUND: It is urgent to find novel non-invasive biomarkers that can accurately diagnose alcohol-associated liver disease (ALD). The objective of t...

Deep learning-driven inversion framework for shear modulus estimation in magnetic resonance elastography.

PURPOSE: The multimodal direct inversion (MMDI) algorithm is widely used in magnetic resonance elastography (MRE) to estimate tissue shear stiffness b...

Open Diagnostic Reader (ODR): An affordable, modular 3D-printed platform for standardized imaging and quantitative analysis of rapid diagnostic tests.

Rapid diagnostic tests (RDTs) are key to disease surveillance, yet their interpretation remains challenging due to weak test lines and difficulties in...

Machine learning, bioinformatics analysis and chemical screening streamline target validation by identifying RNA helicase as a druggable essential protein in tobacco mosaic virus.

INTRODUCTION: Plant viruses inflict annual economic losses exceeding $30 billion and pose a significant threat to global food security. Discovering re...

Deep learning for clinically significant prostate cancer detection on MRI: a systematic review, HSROC meta-analysis, and direct comparison with PI-RADS-based interpretation.

OBJECTIVES: To estimate patient-level diagnostic accuracy of deep learning (DL) for MRI-based detection of clinically significant prostate cancer (csP...

Silver nanoparticles in biomedicine: green synthesis, precision theranostics, and future clinical translation.

Silver nanoparticles (AgNPs) are widely explored in biomedical sciences due to their unique physicochemical properties and high surface reactivity, en...

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial.

BACKGROUND: Severe COVID-19 is a global health concern despite continuous vaccination campaigns because current therapies, such as dexamethasone and r...

Comprehensive multi-omics analysis identifies cancer subtypes and prognostic signatures of hepatitis B virus-associated hepatocellular carcinoma.

Hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) is a heterogeneous malignancy with poor prognosis, necessitating refined classificatio...

Patient-specific modeling identifies metabolic interventions for reversing glucose use reprogramming in alcohol-associated hepatitis.

Alcoholic hepatitis (AH) is an acute form of alcohol-associated liver disease with very few treatment options. Recent studies highlighted liver metabo...

Single-cell sequencing in systemic lupus erythematosus.

BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ in...

The Influence of Social Media Messaging on Human Papillomavirus Vaccine Attitudes and Confidence Among Adolescent Males: Group Discussion Study.

BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...

Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.

BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor microenvironment (TME), yet tumor-normal contrasts a...

Pan-pathogen vaccine approaches: Toward broad-spectrum immunity in a One Health era.

Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, E...

Development of a new disseminated intravascular coagulation score tailored for patients with chronic liver disease: a prospective observational study.

BACKGROUND: Diagnosing disseminated intravascular coagulation (DIC) in patients with chronic liver disease is challenging because cirrhosis-related he...