Latest AI and machine learning research in lupus for healthcare professionals.
Lifelong person re-identification (LReID) is an important but challenging task that suffers from c...
The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content c...
Diffusion models have revolutionized generative modeling with their exceptional ability to produce...
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, d...
Anti-Muslim hate speech has emerged within memes, characterized by context-dependent and rhetorica...
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can pred...
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and tr...
Recent studies suggest cGAS-STING pathway may play a crucial role in the genesis and development of ...
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our abili...
With the rapid evolution of the Internet, the vast amount of data has created opportunities for fo...
Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unp...
Combating money laundering has become increasingly complex with the rise of cybercrime and digital...
Fungal keratitis is a severe vision-threatening corneal infection with a prognosis influenced by f...
This work aims to assess the molecular architectures of anti-tuberculosis drugs using both degree-...
Cardiac T1 mapping can evaluate various clinical symptoms of myocardial tissue. However, there is ...
As Large Language Model (LLM)-based agents become increasingly autonomous and will more freely int...
Online communities are important spaces for members of marginalized groups to organize and support...
The gaming industry has experienced substantial growth, but cheating in online games poses a signi...
Open source, lightweight and offline generative large language models (LLMs) hold promise for clinic...
Electronic Health Records (EHRs) contain a wealth of unstructured patient data, making it challengin...