Psoriasis

Association between oxidative balance score and cardiometabolic multimorbidity: differential mortality, mediation mechanisms, and machine learning insights.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is a major global health burden associated with increased morbidity and mortality. The oxidative balance score (OBS), a composite measure of dietary and lifestyle factors related to oxidative balance, has not been systematically evaluated in relation to CMM and mortality. METHODS: We analyzed 11,365 NHANES participants. Logistic regression, Cox prop...

The Role of Inflammatory Biomarkers in Disease Severity and Treatment Response across Psoriasis, Atopic Dermatitis, and Hidradenitis Suppurativa-A Narrative Review.

Chronic inflammatory skin diseases (CISDs) such as psoriasis (PsO), atopic dermatitis (AD), and hidradenitis suppurativa (HS) involve both cutaneous and systemic immune dysregulation, whereas commonly used scores rely largely on subjective clinical features and insufficiently reflect underlying inflammatory activity or cardiovascular risk. This review summarizes evidence across three biomarker dom...

Transforming Psoriatic Disease Care Through Innovation and Real-World Data: GRAPPA 2025 Soapbox Highlights.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting, held in Bogotá, Colombia, featured soapbox pr...

Molecular mechanisms linking cadmium chloride exposure to ankylosing spondylitis: an integrative network-based study.

Chronic cadmium chloride (CC) exposure is associated with diverse toxicological outcomes, yet its potential role in the pathogenesis of ankylosing spo...

Integrating Machine Learning with Musculoskeletal Simulation Improves OpenCap Video-Based Dynamics Estimation.

OBJECTIVE: Musculoskeletal dynamics influence the progression and rehabilitation of movement-related conditions. However, estimating whole-body dynami...

Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.

BACKGROUND: Aging is a complex biological process characterized by progressive functional decline across multiple physiological systems, and biologica...

Machine learning-driven multi-objective optimization of electrospun nanofibrous membranes design for membrane distillation.

Electrospinning is a versatile route to fabricate membranes for membrane distillation (MD) with tunable structures and properties that govern flux and...

Graph Rotation Network: Equivariant Graph Neural Network for Efficient Inverse Design in 4-D Printing.

Four-dimensional printed structures transform shape under external stimuli, and designing these structures to achieve desired deformation outcomes is ...

Deep-learning-empowered programmable topolectrical circuits.

Topolectrical circuits provide a versatile platform for exploring modern physical models, yet existing approaches lack full programmability and effect...

MolXProt: A Cross-Attention Transformer-Based Graph Neural Network for Protein-Ligand Binding Affinity Prediction.

Accurate and fast prediction of drug-target binding affinities (DTAs) is key for drug discovery; however, many methods, such as docking and empirical ...

Inverse theory of wavefront shaping in nonlinear scattering media.

Scattering fundamentally limits the propagation of light in complex media, yet controlling it is essential for transformative advances in imaging, sen...

Factorization machine with quadratic-optimization annealing for RNA inverse folding and evaluation of binary-integer encoding and nucleotide assignment.

The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a given target secondary structure. While various heur...

Imaging of Small Cell Lung Cancer: An Updated Overview of Current and Emerging Applications.

Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by rapid progression and early metastasis. Despite rec...

Advancing IBD Management: A Literature Review on the Role of Non-Invasive Blood-Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment.

Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therapeutic response remain a major unmet need in inflamm...

Artificial intelligence-driven design of inorganic materials for biomedical applications.

Inorganic non-metallic materials have garnered significant attention in biomedicine due to their structural tunability and multifunctional properties....

Current and Emerging Therapies Targeting the IL-23/IL-17 Axis in Psoriasis.

Over the past two decades, experimental and clinical evidence has established the interleukin-23 (IL-23)/interleukin-17 (IL-17) axis as a key mediator...

Neural Stem Cell-Derived Extracellular Vesicles: The Next Frontier in Neurological and Neurodegenerative Diseases.

The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This stud...

Antimycobacterial Peptides: From Natural Product Discovery to AI Guided Design.

Mycobacterial pathogens remain major global health threats, exacerbated by both rapid acquisition of antibiotic resistance and the formidable drug dif...

Choline kinase beta promotes psoriasis pathogenesis by regulating sphingolipid metabolism and activating the PI3K/Akt/GSK3β signaling pathway.

Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This s...