Psoriasis

Dynamic functional graph-Laplacian priors integrated with optimization for EEG source localization.

OBJECTIVE: Electroencephalography (EEG) source localization is an ill-posed inverse problem in which conventional methods often rely on static anatomical or smoothness assumptions and may neglect task-related dynamic functional interactions. This study aims to develop a dynamic graph-regularized EEG source localization framework that incorporates time-varying functional connectivity directly into ...

Deep learning-assisted structural color inverse design: a perspective.

Structural color, a special color generated by the interaction of visible light with nanostructures, has attracted significant research interest and industrial attention due to its promising advantages of long-term stability, spatial resolution, sustainability, and multi-functionality. The rapid development of artificial structural coloration has also facilitated extensive applications, including ...

A multi-fidelity poroelastic finite element and machine learning framework for characterizing respiratory mechanics in porcine lungs.

Accurate and rapid characterization of lung mechanics remains a central challenge in respiratory disease management. Physics-informed poroelastic fini...

Psoriatic Disease Across Dimensions: Global Epidemiology, Comorbidity, and Artificial Intelligence in Treatment Prediction.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting featured a new "Soapbox: Rapid fire presentati...

AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation.

Purpose To evaluate the value of a nomogram model incorporating clinical parameters, hematologic inflammatory biomarkers, and MRI radiomic features in...

Gamma Knife treatment planning using knowledge-based reinforcement learning.

BACKGROUND: Inverse planning is often used for Gamma Knife radiosurgery, allowing clinicians to mathematically specify desired clinical objectives and...

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only e...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

Mapping the intellectual landscape of malaria drug repurposing: a systematic analysis of the 51 most cited studies.

BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...

Unsupervised Machine Learning of Inflammatory Bowel Disease Case Reports Reveals Decades of Evolving Research Themes.

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) case reports provide rich longitudinal insights but have rarely been analyzed using quantitative...

The functional relevance of human leukocyte antigens in the development of cord blood derived advanced cellular therapies: A new direction of public cord blood banks.

CBUs have been applied as alternative source of HSCs transplantation. The increasing preference for haploidentical HSC transplantation has resulted in...

Corneal nerve regeneration: treatments and monitoring approaches.

BACKGROUND: Diagnostics and therapeutics for corneal nerve pathologies are rapidly evolving, with continual advancements in imaging, laser, machine le...

Effects of biologic and targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) on patient-reported outcome domains in rheumatoid arthritis: a systematic review and network meta-analyses.

INTRODUCTION: Evidence from head-to-head comparisons of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) on patient-repo...

Identification of small-molecule TNF-α inhibitor candidates using machine learning-guided screening and multiscale molecular modelling.

Lumbar disc herniation (LDH) is a major cause of chronic low back pain, in which tumor necrosis factor-alpha (TNF-α) plays a central role in inflammat...

Machine Learning Inverse Design Reveals a Double Narrow-Band Absorption Approach for Effective Colored Radiative Cooling Paints.

Colored radiative cooling paints offer immense potential for aesthetic thermal management. However, previous studies have been limited to either intui...

A Versatile-Designable Framework for Active and Programmable Shape-Morphing Soft Matter Systems: From Inverse Design to Closed-Loop Control.

Developing soft matter systems with programmability, multifunctional integration, and environmental adaptability represents a critical challenge in so...

Inverse design and discovery of high entropy alloy catalysts for efficient oxygen evolution reaction.

High-entropy alloys (HEAs) consisting of earth-abundant elements can serve as replacement for expensive, industrial grade catalysts, such as iridium d...

Evaluation of the clinical applicability of artificial intelligence in determining systemic therapy indications and treatment selection in psoriasis.

OBJECTIVE: To evaluate the concordance between artificial intelligence (AI)-recommended and dermatologist-selected treatments in real-world psoriasis ...

Optimising biologic therapy in psoriasis: dose adjustment, treatment duration, and tapering-an expert perspective.

INTRODUCTION: Biologic therapies have transformed the management of moderate-to-severe psoriasis; however, long-term treatment requires optimization s...

Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration.

Human brain seamlessly integrates multisensory stimuli to synthesize complementary information for enhanced perceptions, depending on neural principle...