Hepatitis

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates.

Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...

Machine Learning of Molecular Dynamics Simulations Provides Insights into the Modulation of Viral Capsid Assembly.

An effective approach in the development of novel antivirals is to target the assembly of viral caps...

Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis.

BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be assoc...

Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.

The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and ...

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective.

BACKGROUND: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplac...

Large-Scale Non-Adiabatic Dynamics Simulation Based on Machine Learning Hamiltonian and Force Field: The Case of Charge Transport in Monolayer MoS.

We present an efficient and reliable large-scale non-adiabatic dynamics simulation method based on m...

Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resource...

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.

BACKGROUND: The increasing use of direct-to-consumer artificial intelligence (AI)-enabled mobile hea...

How AI Could Reshape Health Care-Rise in Direct-to-Consumer Models.

Integrating DFG spectroscopy with machine learning for direct and accurate gas pressure diagnosis from spectral imagery.

We introduce what we believe to be a novel machine learning (ML)-based ResNet algorithm for predicti...

Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.

In the medical domain, the challenges in sample acquisition and collection often result in imbalance...

Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.

The analysis and individual interpretation of hepatitis serology test results is a complex task in l...

Allocation of Oral Cholera Vaccines in Africa.

OBJECTIVES: In this study, we examine the allocation of oral cholera vaccines (OCVs) across 25 Afric...

An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gast...

Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mort...

Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning.

Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodica...

Convolutional Neural Networks Enable Direct Strain Estimation in Quasistatic Optical Coherence Elastography.

Assessing the biomechanical properties of tissues can provide important information for disease diag...

Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning.

BACKGROUND: Metabolic associated steatohepatitis (MASH) represents a severe subtype of metabolic ass...

Modeling Enzyme Reaction and Mutation by Direct Machine Learning/Molecular Mechanics Simulations.

Accurately modeling enzyme reactions through direct machine learning/molecular mechanics simulations...

The Effect of Transcranial Direct Current Stimulation on Basketball Performance-A Scoping Review.

: Basketball performance requires not only intermittent high-intensity movements-such as sprinting, ...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...