Latest AI and machine learning research in rheumatology for healthcare professionals.
Müllercell is the most common type of glial cell in the human and mouse retina, playing a crucial role in maintaining retinal homeostasis. In addition to providing structural support to the retina, Müllercells can also supply trophic substances to retinal neurons, remove metabolic waste, mitigate oxidative stress, and promote synaptic activities. However, many roles of Müllercells remain largely u...
Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challenges. Biomarkers for the classification and the prediction of chronic pain are therefore critically needed. Here, in this multidataset study of over 523,000 participants, we applied machine learning to multidimensional biological data from the UK Biobank to identify biomarkers for 35 medical condition...
Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical efficacy is limited by several factors, such as poo...
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially du...
The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing di...
Patients with head and neck cancer often present with complex challenges due to a substantial comorbidity burden, including substance use disorders, a...
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in ...
OBJECTIVES: To identify specific metabolomic profiles associated with gout flares in people with gout.
The evidence base for ultrasound and MRI imaging in pediatric rheumatic diseases continues to grow, enabling the routine clinical use of the two techn...
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse...
Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature ...
OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the specific genes and pathways altered in SLE patients ...
OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of urate-lowering therapy (ULT) on CKD incidence and p...
Susana Vázquez Torres talks to Ana Lesher Treviño about AI-guided protein design for antivenoms and her aim to improve access to lifesaving treatments...
BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in minor labial salivary gland biopsies (mLSGB), which ...
Downsampling layers are crucial building blocks in CNN architectures, which help to increase the receptive field for learning high-level features an...
The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publi...
The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severe...
Stereotypes are known to be highly pernicious, making their detection critically important. However, current research predominantly focuses on detec...
OBJECTIVES: This study aimed to investigate the value of a deep learning (DL) model based on greyscale ultrasound (US) images for precise assessment a...