Latest AI and machine learning research in hepatitis for healthcare professionals.
Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Al...
BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoim...
The viruses threats provoke concerns regarding their sustained epidemic transmission, making the dev...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global h...
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that involves multiple systems. S...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogeneous disease caused b...
BACKGROUND: At present, there are no specialized models for predicting mortality risk in patients wi...
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of a...
Meningococcal meningitis poses a significant public health burden in the meningitis belt region of s...
The likelihood of pedestrians encountering autonomous mobile robots (AMRs) in smart cities is steadi...
BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chat...
BACKGROUND: The novel coronavirus pneumonia (COVID-19) outbreak in late 2019 killed millions worldwi...
BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (P...
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our abili...
microRNAs (miRNAs) are central post-transcriptional gene expression regulators in healthy and diseas...
This letter comments on the article that developed and tested a machine learning model that predicts...
To evaluate the alarm notification of artificial intelligence in detecting parasites on the KU-F40 F...
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, an...
The gut microbiota plays a vital role in human health, and significant effort has been made to predi...
We sought to develop and validate a machine learning (ML) model for predicting multidimensional frai...
INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectivenes...