Psoriasis

Influence of personalized human head modeling and resolution on EEG source localization for rapid brain mapping.

OBJECTIVE: To evaluate the trade-offs among model resolution, anatomical fidelity, computational cost, and localization accuracy in EEG source imaging using personalized head models. Special emphasis was placed on segmentation-free modeling and sparse inverse analysis for rapid brain mapping. APPROACH: Forward problems were solved using a scalar-potential finite-difference method combined with ort...

Transcriptome integration analysis of shared biomarkers and common immune mechanisms in SLE and PSO.

This study aimed to identify shared diagnostic biomarkers and common immune mechanisms between systemic lupus erythematosus (SLE) and psoriasis (PSO) via integrated transcriptomic analysis, and to elucidate the role of genetic susceptibility in driving disease pathogenesis following viral infection. GEO datasets of SLE and PSO were analyzed. Shared genes were screened using differential expression...

Using casual inference and machine learning with exposure determinant modeling to identify important workplace controls.

OBJECTIVES: Exposure determinant modeling can help industrial hygienists understand where, when, and how to control occupational exposures for their p...

Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.

BACKGROUND: Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly ...

From Clusters to Outcomes: Machine Learning-Based Phenotyping in Intermediate-High-Risk Acute Pulmonary Embolism.

Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biol...

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...

Medical Microwave Imaging Using Physics-Guided Deep Learning Part 2: The Inverse Solver.

Deep learning has the potential to address the bottleneck of conventional medical microwave tomography, which is ill-posed and has a high computation ...

An old disease, a new linguistic challenge for large language models: patient education on psoriasis and psoriatic arthritis in an underrepresented medical language.

OBJECTIVE: Large Language Models (LLMs) are increasingly applied to patient education, yet their performance in languages that are relatively underrep...

HeartUnloadNet: A cycle-consistent graph network with reduced supervision for predicting unloaded cardiac geometry from diastolic states.

BACKGROUND AND OBJECTIVE: The unloaded cardiac geometry, representing the zero-stress and zero-strain reference state of the heart, is fundamental for...

Immunoprotective and neuroprotective properties of gut microbiome in psoriasis.

Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbidities such as depression and anxiety. With gut mi...

Integrated bioinformatics and clinical validation reveals PRDX6 as a mitochondrial hub gene in systemic lupus erythematosus.

OBJECTIVES: Peroxiredoxin 6 (PRDX6), a potent antioxidant enzyme, has garnered considerable interest for its potential involvement in inflammatory dis...

Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield.

Accurate and efficient non-destructive evaluation (NDE) techniques are essential for ensuring the structural integrity of metallic components, where s...

Characterizing endotypes in chronic rhinosinusitis: emerging research and clinical applications.

PURPOSE OF REVIEW: The purpose of this study is to describe why this review is timely and relevant. Endotyping, the organization of rhinologic inflamm...

SDEIT: Semantic-Driven Electrical Impedance Tomography.

Regularization methods using prior knowledge are essential in solving ill-posed inverse problems such as Electrical Impedance Tomography (EIT). Howeve...

Development of interfacial oxygen micro-nanobubble technology for hypoxia remediation: Machine-learning assisted optimization and mechanistic insights into sustained oxygen release.

Aquatic deoxygenation requires efficient and durable oxygenation strategies. Here, we developed a data-efficient framework that integrates regression ...

Diffusion Model-Guided Inverse Design of Bimetallic Catalysts for Ammonia Decomposition.

In the past decade, artificial intelligence and deep learning have played increasingly prominent roles in materials design and discovery. Among these,...

Exploring shared diagnostic genes and molecular mechanisms in multiple sclerosis and psoriasis through bioinformatics analysis and machine learning.

BACKGROUND: Multiple sclerosis (MS) and psoriasis are both immune-mediated inflammatory diseases. Previous studies have reported comorbidity between M...

A physics-embedded dual-learning imaging framework for electrical impedance tomography.

Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique that reconstructs the spatial conductivity distribution from bounda...

Machine learning-guided composite ionic liquid-based system for dual-drug delivery targeting redox homeostasis and STAT3-PI3K axis in psoriasis therapy.

Excessive accumulation of reactive oxygen and nitrogen species (RONS) exacerbates inflammatory responses and contributes to the progression of psorias...

Pathway-Informed Machine Learning Identifies Genetic Predictors of High-Dose Methotrexate-Induced Mucositis in Pediatric Acute Lymphoblastic Leukemia.

High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and...