Infectious Disease

Hepatitis

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

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A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies.

BACKGROUND: Converging evidence indicates an adolescent mental health crisis in Western societies th...

Augmented and Programmatically Optimized LLM Prompts Reduce Chemical Hallucinations.

Utilizing large Language models (LLMs) for handling scientific information comes with risk of the ou...

Integrating different approaches for the identification of new disruptors of HIV-1 capsid multimerization.

Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped b...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...

Discovery of SARS-CoV-2 Nsp14-Methyltransferase (MTase) Inhibitors by Harnessing Scaffold-Centric Exploration of the Ultra Large Chemical Space.

The global impact of SARS-CoV-2 underscores the need for antiviral treatments beyond vaccines. This ...

Machine learning assisted in Silico discovery and optimization of small molecule inhibitors targeting the Nipah virus glycoprotein.

The Nipah virus (NiV), a lethal pathogen from the Paramyxoviridae family, presents a significant glo...

Improving photovoltaic water pumping system performance with PSO-based MPPT and PSO-based direct torque control using real-time simulation.

This work aims to enhance the performance of Photovoltaic Water Pumping Systems (PVWPS) by optimizin...

Identification of Different Steaming Degrees of Panax quinquefolius L. Based on GC-IMS Combined With Machine Learning.

RATIONALE: Panax quinquefolius L. (PQ), a commonly used traditional Chinese medicine and a food, is ...

Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis.

BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential revers...

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Species-specific differences in protein translation can affect the design of protein-based drugs. Co...

Inter-view contrastive learning and miRNA fusion for lncRNA-protein interaction prediction in heterogeneous graphs.

Predicting long non-coding RNA (lncRNA)-protein interactions is essential for understanding biologic...

Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...

Identification and Validation of Biomarkers in Metabolic Dysfunction-Associated Steatohepatitis Using Machine Learning and Bioinformatics.

BACKGROUND: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is increasing a...

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