Rheumatology

Fusogenic Lipid Nanovesicles as Multifunctional Immunomodulatory Platforms for Precision Solid Tumor Therapy.

Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical efficacy is limited by several factors, such as poor tumor immunogenicity, inadequate immune activation, and immunosuppressive tumor microenvironment (TME). To overcome these challenges, a versatile and universal immune modulation platform should be developed, and lipid nanovesicles with membrane fus...

Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.

Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially due to insufficient drug delivery across blood-brain barrier. In this study, we developed a novel therapy for this lymphoma by combining a targeted nanopolymer treatment with an immune checkpoint inhibitor antibody (anti-PD-1). A N-(2-hydroxypropyl)met...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing di...

Navigating challenging patient factors in systemic therapy for head and neck cancer.

Patients with head and neck cancer often present with complex challenges due to a substantial comorbidity burden, including substance use disorders, a...

Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.

Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in ...

Metabolomic profiles underlying gout flares: a prospective study of people with gout.

OBJECTIVES: To identify specific metabolomic profiles associated with gout flares in people with gout.

Best practice in rheumatology new developments in ultrasound and MRI imaging of pediatric rheumatic diseases.

The evidence base for ultrasound and MRI imaging in pediatric rheumatic diseases continues to grow, enabling the routine clinical use of the two techn...

Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images

Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse...

Multi-Scale Graph Learning for Anti-Sparse Downscaling

Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature ...

Exploring genetic and immune cell dynamics in systemic lupus erythematosus patients with Epstein-Barr virus infection via machine learning.

OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the specific genes and pathways altered in SLE patients ...

An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement.

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: the power of computational protein design.

Susana Vázquez Torres talks to Ana Lesher Treviño about AI-guided protein design for antivenoms and her aim to improve access to lifesaving treatments...

Evaluation of minor labial salivary gland focus score in Sjögren's disease using deep learning: a tool for more efficient diagnosis and future tissue biomarker discovery.

BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in minor labial salivary gland biopsies (mLSGB), which ...

Group Downsampling with Equivariant Anti-aliasing

Downsampling layers are crucial building blocks in CNN architectures, which help to increase the receptive field for learning high-level features an...

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints

The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publi...

Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis

The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severe...

Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings

Stereotypes are known to be highly pernicious, making their detection critically important. However, current research predominantly focuses on detec...

Deep learning in the precise assessment of primary Sjögren's syndrome based on ultrasound images.

OBJECTIVES: This study aimed to investigate the value of a deep learning (DL) model based on greyscale ultrasound (US) images for precise assessment a...

An objective diagnosis of gout and calcium pyrophosphate deposition disease with machine learning of Raman spectra acquired in a point-of-care setting.

OBJECTIVE: Raman spectroscopy is proposed as a next-generation method for the identification of monosodium urate (MSU) and calcium pyrophosphate (CPP)...

[Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid].

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning mode...