Hepatitis

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Hepatitis C virus (HCV) infection remains a leading cause of liver cirrhosis and hepatocellular carcinoma globally, affecting approximately 50 million people with chronic infection worldwide. Traditional diagnostic approaches often rely on extensive biomarker panels, resulting in increased healthcare costs and clinical complexity without corresponding improvements in diagnostic accuracy. This stud...

Predicting intrinsic clearance using deep learning-based drug-metabolic enzyme interaction features on an IVIVE-harmonized endpoint dataset.

BACKGROUND AND OBJECTIVE: Intrinsic clearance is a key pharmacokinetic parameter in drug development because it influences systemic exposure and dose selection. Conventional in vitro-in vivo extrapolation (IVIVE) approaches are useful but often require additional experimental resources and may be difficult to apply in the earliest stages of compound screening. This study aimed to develop a biologi...

Predictive performance of CT-based artificial intelligence for predicting variceal bleeding in portal hypertension: a systematic review and meta-analysis.

OBJECTIVES: To systematically evaluate the predictive accuracy of computed tomography (CT)-based artificial intelligence (AI) for predicting variceal ...

Unveiling Viral Escape Mechanisms With Machine Learning: A Transformative Approach to Mutation Analysis for SARS-CoV-2 and Beyond.

Persistent viruses like Influenza, HIV, and Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasti...

Multimodal data integration to determine viral and innate immune kinetics in human airway epithelium.

Understanding the mechanisms that govern viral spread in human airway epithelium (HAE) remains a major challenge, particularly with regard to identify...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Microcomputed tomography analysis of marginal adaptation and internal fit of zirconia frameworks with direct-to-abutment connections using a deep learning artificial intelligence model.

STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), li...

Synonymous mutations in viral evolution and vaccine design.

Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...

Direct Identification and Quantification of Nanoplastics in Aqueous Environments via Dual-Channel Electrothermal Vaporization-Microplasma-Based Point Discharge-Optical Emission Spectrometry (DC-ETV-μPD-OES).

A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-based point discharge-optical emission spectrometr...

Explainable machine learning incorporating CHI3L1 enhances liver fibrosis staging in chronic hepatitis B: The CHILI multicenter study.

BACKGROUND: Identifying significant liver fibrosis (≥F2) is critical for initiating antiviral therapy in chronic hepatitis B (CHB). Chitinase-3-like p...

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...

Partisan differences in childhood measles vaccination and general refusals: a retrospective cohort study of electronic health records in the United States, 1988-2024.

BACKGROUND: Vaccination remains one of the most effective public health tools globally. Yet recent years have seen increasing political polarization a...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustain...

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplasma pneumoniae pneumonia (MPP) complicated by bacte...

Concepts of RNA virus evolution for the design of better antiviral countermeasures.

This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...

The Combination of Machine Learning and Metabolomics for the Clinical Diagnosis of Hepatocellular Carcinoma.

The early diagnosis of hepatocellular carcinoma (HCC) lacks biomarkers with a high sensitivity and specificity. This study was to find sensitive and s...

Machine learning to predict survival in patients treated for hepatocellular carcinoma: a systematic review.

BACKGROUND: Given the interplay of cirrhosis with malignancy, management of hepatocellular carcinoma (HCC) relies on multidisciplinary clinician judge...

The VP1 Protein of Foot-and-Mouth Disease Virus: Bridging Pathogenicity and Control Strategies.

The Foot-and-mouth disease virus (FMDV) is a highly contagious pathogen affecting cloven-hoofed animals. Its major structural protein, VP1, serves as ...

Predicting biliary complications after liver transplantation: a machine learning and nomogram-based exploratory study.

BACKGROUND: Accurate risk stratification of biliary complications (BCs) after liver transplantation (LT) remains challenging. This study aimed to deve...