Latest AI and machine learning research in rheumatology for healthcare professionals.
In recent years, continuum soft robots have emerged as a promising avenue for the advancement of th...
Müllercell is the most common type of glial cell in the human and mouse retina, playing a crucial ro...
Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challeng...
Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor r...
The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...
Patients with head and neck cancer often present with complex challenges due to a substantial comorb...
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user...
OBJECTIVES: To identify specific metabolomic profiles associated with gout flares in people with gou...
The evidence base for ultrasound and MRI imaging in pediatric rheumatic diseases continues to grow, ...
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems....
Water temperature can vary substantially even across short distances within the same sub-watershed...
OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the sp...
OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of u...
Susana Vázquez Torres talks to Ana Lesher Treviño about AI-guided protein design for antivenoms and ...
BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in mi...
Downsampling layers are crucial building blocks in CNN architectures, which help to increase the r...
The rapid advancement of diffusion models and personalization techniques has made it possible to r...
The rise of customized diffusion models has spurred a boom in personalized visual content creation...
Stereotypes are known to be highly pernicious, making their detection critically important. Howeve...
OBJECTIVES: This study aimed to investigate the value of a deep learning (DL) model based on greysca...