Latest AI and machine learning research in hepatitis for healthcare professionals.
Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mort...
BACKGROUND: Metabolic associated steatohepatitis (MASH) represents a severe subtype of metabolic ass...
Accurately modeling enzyme reactions through direct machine learning/molecular mechanics simulations...
The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...
Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...
Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped b...
Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...
The global impact of SARS-CoV-2 underscores the need for antiviral treatments beyond vaccines. This ...
Synthesizing medical images remains challenging due to limited annotated pathological data, modali...
The Nipah virus (NiV), a lethal pathogen from the Paramyxoviridae family, presents a significant glo...
AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...
RATIONALE: Panax quinquefolius L. (PQ), a commonly used traditional Chinese medicine and a food, is ...
Liver cirrhosis is an insidious condition involving the substitution of normal liver tissue with f...
BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential revers...
Recent advances in diffusion models have improved Real-World Image Super-Resolution (Real-ISR), bu...
Previous text-to-image diffusion models typically employ supervised fine-tuning (SFT) to enhance p...
The segmentation of multiple organs in multi-parametric MRI studies is critical for many applicati...
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...
De novo molecular design has extensive applications in drug discovery and materials science. The v...
The practice of pharmacovigilance relies on large databases of individual case safety reports to d...