Rheumatology

Latest AI and machine learning research in rheumatology for healthcare professionals.

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A Multitask Network for the Diagnosis of Autoimmune Gastritis.

Autoimmune gastritis (AIG) has a strong correlation with gastric neuroendocrine tumors (NETs) and ga...

Forecasting Banned Substances: Leveraging GNN and Explainable AI for Sports Anti-Doping.

Ensuring fairness in competitive sports requires robust mechanisms for detecting prohibited substanc...

scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework.

Transcriptome-wide association studies (TWASs) help identify disease-causing genes but often fail to...

Single-cell and spatial transcriptomics reveals an anti-tumor neutrophil subgroup in microwave thermochemotherapy-treated lip cancer.

Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but...

Redefining Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer in the Era of Novel Antibody-Drug Conjugates.

The advent of next-generation antibody-drug conjugates (ADCs), particularly trastuzumab deruxtecan (...

Discrimination of Normal from Slow-Aging Mice by Plasma Metabolomic and Proteomic Features.

Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search f...

Biological markers and psychosocial factors predict chronic pain conditions.

Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challeng...

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

Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...

A Multichannel Continuum Robot for Diagnosis and Treatment of Vascular Lesions.

In recent years, continuum soft robots have emerged as a promising avenue for the advancement of th...

IFPTML Multi-Output Model for Anti-Retroviral Compounds Including the Drug Structure and Target Protein Sequence Information.

Retroviruses such as HIV cause significant diseases in humans and other organisms, making the discov...

AI-Driven Analysis Unveils Functional Dynamics of Müller Cells in Retinal Autoimmune Inflammation.

Müllercell is the most common type of glial cell in the human and mouse retina, playing a crucial ro...

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 r...

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 healthcar...

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 comorb...

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 gou...

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...

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, ...

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 ...

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 u...

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