Infectious Disease

Hepatitis

Latest AI and machine learning research in hepatitis for healthcare professionals.

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Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review.

As the population of older adults continues growing, so will the need for cost-effective approaches ...

Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.

BACKGROUND: Nonspecific orbital inflammation (NSOI), also known as idiopathic orbital inflammation, ...

Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Novel methods for detecting transplant rejection are craved, since conventional methods can detect o...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them i...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding.

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this pr...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings.

Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-...

Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study.

Primary liver cancer is the sixth most commonly diagnosed cancer globally and the third leading caus...

Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network.

Brushless DC (BLDC) motors are widely used in industrial applications due to their high efficiency a...

Bayesian mediation analysis using patient-reported outcomes from AI chatbots to infer causal pathways in clinical trials.

The integration of artificial intelligence (AI) chatbots into clinical trials offers a transformativ...

Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.

DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to c...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Diagnostics of Autoimmune Hepatitis Enabled by Non-Invasive Clinical Proteomics.

BACKGROUND: Autoimmune hepatitis (AIH) may be difficult to diagnose and distinguish clinically and b...

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