Infectious Disease

Hepatitis

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

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Factors Influencing the Binding of HIV-1 Protease Inhibitors: Insights from Machine Learning Models.

HIV-1 protease inhibitors are crucial for antiviral therapies targeting acquired immunodeficiency sy...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

Discovering the metabolic pathway of liver disease by breath mass spectrometry combined with machine learning.

On account of the low concentration and complex background, most methods for detecting VOCs in exhal...

High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An In Silico Approach.

The increasing incidence of antimicrobial resistance is becoming a serious concern worldwide and req...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and e...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

In-silico evaluation of Azadirachta indica-derived Daucosterol against key viral proteins of Ebolavirus using ML and MD simulations approach.

Ebola virus disease (EVD) is an acute life-threatening disease caused by highly pathogenic Ebolaviru...

Messenger Ribonucleic Acid (mRNA)-Based Universal Vaccines: Engineering Broad-Spectrum Immunity Against Future Pandemics.

The rapid emergence and evolution of infectious pathogens, including the COVID-19 pandemic and recur...

Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data.

Mastitis in dairy cows is one of the most important issues that not only pose risk to animal health ...

Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.

Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the...

Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSN...

Exploring the exportin-1 inhibitors for COVID-19 and anticancer treatment.

Nuclear export protein 1, also known as XPO1, plays a crucial role in cellular homeostasis and assis...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. ...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples.

It is estimated that approximately 15% of cancers worldwide can be linked to viral infections. The v...

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