Latest AI and machine learning research in rheumatology for healthcare professionals.
This study introduces RheumaLinguisticpack (RheumaLpack), the first specialised linguistic web corpu...
Artificial intelligence algorithms, with roots extending into the past but experiencing a resurgence...
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...
AIMS: Over 50% of breast cancer cases are "Human epidermal growth factor receptor 2 (HER2) low breas...
A rare metabolic condition called alkaptonuria (AKU) is caused by a decrease in homogentisate 1,2 di...
Renal cell carcinoma is a highly vascular tumor associated with vascular endothelial growth factor (...
Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by pro...
To achieve the accuracy and anti-interference of the motion control of the soft robot more effective...
BACKGROUND: Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) with...
One of the most significant consequences of systemic lupus erythematosus (SLE) is lupus nephritis (L...
As the primary component of anti-tumor immunity, T cells are prone to exhaustion and dysfunction in ...
Cell-penetrating peptides (CPPs) with better biomolecule delivery properties will expand their clini...
Chimeric antigen receptor (CAR) T cells represent a revolutionary immunotherapy that allows specific...
BACKGROUND: Children with IgA Vasculitis (IgAV) may develop renal complications, which can impact th...
Angiogenesis is a key process for the proliferation and metastatic spread of cancer cells. Anti-angi...
Dermatologists treating patients with autoimmune bullous dermatoses (AIBDs), as well as the patients...
Artificial intelligence (AI) has been steadily integrated into dermatology, with AI platforms alread...
Vascular endothelial growth factor receptor 2 (VEGFR-2) stands as a prominent therapeutic target in ...
Histological assessment of autoimmune hepatitis (AIH) is challenging. As one of the possible results...
INTRODUCTION: Autoimmune disorders affect 4.5% to 9.4% of children, significantly reducing their qua...
OBJECTIVE: This study aims to develop and validate machine learning models to predict proliferative ...