Psoriasis

Application-driven validation of posteriors in inverse problems.

Current deep learning-based solutions for image analysis tasks are commonly incapable of handling problems to which multiple different plausible solutions exist. In response, posterior-based methods such as conditional Diffusion Models and Invertible Neural Networks have emerged; however, their translation is hampered by a lack of research on adequate validation. In other words, the way progress i...

The research progress of biologics in elderly-onset rheumatoid arthritis (EORA).

is a distinct subtype of characterized by heightened treatment challenges due to immune aging and the complexity of comorbidities. This review systematically summarizes the definition, clinical features, epidemiological trends, therapeutic challenges, and the potential applications of biologic agents in . It primarily focuses on the efficacy, safety, and individualized treatment strategies assoc...

A practical guide to FAIR data management in the age of multi-OMICS and AI.

Multi-cellular biological systems, including the immune system, are highly complex, dynamic, and adaptable. Systems biologists aim to understand such ...

Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recent...

Unveiling the molecular mechanisms of Haitang-Xiaoyin Mixture in psoriasis treatment based on bioinformatics, network pharmacology, machine learning, and molecular docking verification.

OBJECTIVE: Psoriasis is a common clinical skin inflammatory disease. Haitang-Xiaoyin Mixture (HXM) represents a traditional Chinese medicine formulati...

Optimizing LandGEM model parameters using a machine learning method to improve the accuracy of landfill methane gas generation estimates in the United States.

Municipal solid waste (MSW) landfills significantly contribute to global methane gas production, underscoring the critical need for accurate emission ...

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants.

Current limitations in implant design often lead to trade-offs between minimally invasive surgery and achieving the desired post-implantation function...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the skin, characterized by a lack of well-established bi...

Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic.

BACKGROUND: Rheumatology has experienced notable changes in the last decades. New drugs, including biologic agents and Janus kinase (JAK) inhibitors, ...

Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. Th...

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation.

Polymeric membranes have been widely used for liquid and gas separation in various industrial applications over the past few decades because of their ...

TELEPROM Psoriasis: Enhancing patient-centered care and health-related quality of life (HRQoL) in moderate-to-severe plaque psoriasis.

BACKGROUND AND PURPOSE: Psoriasis is a chronic, immune-mediated inflammatory skin disease that significantly impacts patients' quality of life. The in...

Prevalence of fungal colonization among patients with psoriasis in difficult-to-treat areas: impact of apremilast on mycotic burden and clinical outcomes.

INTRODUCTION: Fungi, including , may be a trigger or exacerbate psoriasis, especially in difficult to treat (DTT) areas, through the activation of IL-...

Psoriatic arthritis in psoriasis: optimizing the current screening system for psoriatic arthritis based on serum data from U.S. and Chinese populations.

BACKGROUND: Psoriatic arthritis (PSA) is an inflammatory joint disease associated with psoriasis (PSO) that can be easily missed. Existing PSA screeni...

Advanced whole transcriptome sequencing and artificial intelligence/machine learning (AI/ML) in imiquimod-induced psoriasis-like inflammation of human keratinocytes.

INTRODUCTION: Although the HaCaT keratinocyte model has been used in previous research to study the effects of antipsoriatic agents, there is still a ...

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopathy (HCM) on 12-lead ECGs and offers a novel way to...

Deep multiple instance learning on heterogeneous graph for drug-disease association prediction.

Drug repositioning offers promising prospects for accelerating drug discovery by identifying potential drug-disease associations (DDAs) for existing d...

Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including chronic obstructive pulmonary disease (COPD). How...

Reliable and easy-to-use calculating tool for the Nail Psoriasis Severity Index using deep learning.

Since nail psoriasis restricts the patient's daily activities, therapeutic intervention based on reliable and reproducible evaluation is critical. The...

CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis.

Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to the human population. The precise and effective diagnos...