Rheumatology

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

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Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.

Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome....

Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of...

AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.

Aging is a natural phenomenon characterized by the loss of normal morphology and physiological funct...

Challenges and Opportunities in Psoriatic Disease: An Integrated View of the Future.

Psoriatic disease (PsD), which includes cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), aff...

The Scientific Method and Advancing Omic Technologies: Breakthroughs in Psoriatic Disease.

A morning workshop addressing the topic of "What You Always Wanted to Know About Science but Were Af...

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular ...

Redesigning miR-34a: structural and chemical advances in the therapeutic development of an miRNA anti-cancer agent.

MicroRNAs (miRNAs) represent a promising class of therapeutics due to their ability to down-regulate...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

Pan-cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells.

Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...

A hybrid supervised and unsupervised machine learning approach for identifying nucleoside drugs using nanopore readouts.

Nucleoside drugs, mimics of natural nucleosides, have become cornerstone treatments in clinical appr...

Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control.

Efficient space heating is vital for sustainable building design, offering opportunities to reduce e...

Investigating the impact of social media images on users' sentiments towards sociopolitical events based on deep artificial intelligence.

This paper presents the findings of the research aimed at investigating the influence of visual cont...

Gout Diagnosis From Ultrasound Images Using a Patch-Wise Attention Deep Network.

OBJECTIVES: The rising global prevalence of gout necessitates advancements in diagnostic methodologi...

Electrical stimulation of stem cell-derived human neural networks for evaluating anti-seizure medications.

OBJECTIVE: Current preclinical epilepsy drug screening relies on animal models that poorly reflect h...

Recent Advances of Microcapsule-based Intelligent Coatings: From Bioinspired Designs, Material Selections, to Potential Applications.

Coating technology is widely used in diverse fields such as energy, healthcare, and aerospace becaus...

A fair machine learning model to predict flares of systemic lupus erythematosus.

OBJECTIVE: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that disproportionatel...

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

This study aims to identify depressive risks in elderly individuals with subjective cognitive declin...

Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.

BACKGROUND: Limited research has been conducted on the prevalence of acute kidney injury (AKI) and a...

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