Psoriasis

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence.

Multimodal learning enhances the perceptual ability of intelligent systems by integrating information across sensory modalities. However, most artificial intelligence approaches still rely on static fusion schemes and do not account for the dynamic nature of multisensory integration observed in the brain. In biological systems, the principle of inverse effectiveness states that weaker unimodal cue...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among all non-fatal diseases globally. It is characterized by intensely itchy skin and is associated with multiple comorbidities, such as food allergy, asthma, allergic rhinitis and eosinophilic oesophagitis, which are mainly driven by type 2 immune respon...

Prognostic value of AI-enabled quantitative coronary CT angiography for major adverse cardiovascular events: A systematic review and meta-analysis.

BACKGROUND: Artificial intelligence-enabled quantitative coronary computed tomography angiography (AI-QCCTA) offers automated assessment of coronary p...

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epig...

Identification of Polyamine Metabolism-Related Biomarkers in Psoriasis: A Study Based on Transcriptomics and Single-Cell Sequencing.

Psoriasis (PS) is linked to altered polyamine metabolism, which may drive chronic inflammation and abnormal keratinocyte proliferation. We integrated ...

A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models.

Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular, material, and process design, but their reliabil...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...

Bridging Generations: Leveraging Technology and Artificial Intelligence for Better Research, Outreach, and Daily Practice.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting hosted a workshop entitled "Bridging generatio...

Numerical Inverse Design of Patient-Specific Dental Implants: Accelerating FEA-Based Optimization via Evolutionary Neural Surrogates.

Mechanical complications in dental implantology often arise from a mismatch between standardized geometries and patient-specific anatomical constraint...

Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES.

BACKGROUND: Physically inactive older adults represent a high-risk group for depression. However, whether dietary antioxidant intake profiles can help...

A bond-aware graph neural network integrated with docking, pharmacophore modeling and molecular dynamics for JAK2 inhibitors affinity prediction.

The Janus kinase (JAK)/STAT signaling pathway plays a pivotal role in cancer biology as well as in inflammatory and autoimmune disorders such as psori...

Machine learning-guided inverse design of biomass-derived MgO nanoparticles with targeted sizes: A case study on As(III) adsorption.

Achieving precise size control in the synthesis of biomass-derived magnesium oxide (MgO) nanoparticles remains a significant challenge. Here, this stu...

Traumatic Inflammatory-Coagulation Coactivation Occurs Early After Injury and Impacts Mortality.

OBJECTIVES: Acute traumatic coagulopathy is known to occur early following severe injury. However, the role and impact of both pro- and anti-inflammat...

Review of systemic therapy in HCC with an approach to response assessment in clinical practice.

Systemic therapy for hepatocellular carcinoma (HCC) has undergone rapid transformation over the past decade, significantly expanding treatment options...

Predicting antifolate resistance in the unculturable fungal pathogen Pneumocystis jirovecii.

Pneumocystis jirovecii is an opportunistic fungal pathogen responsible for Pneumocystis pneumonia (PCP) in immunocompromised patients. Antifolate drug...

ProtSeqGen: a novel deep learning model for protein sequence design.

The protein inverse folding problem, which is the task of designing an amino acid sequence that will fold into a specified backbone structure, represe...

Harnessing machine learning to decode dietary Impacts on cardiometabolic multimorbidity.

OBJECTIVE: The objective of this research is to develop and validate the efficacy of a machine learning model that integrates 13 nutrients with baseli...

Curcumin alleviates depression-aggravated psoriasis by targeting MMP9-regulated apoptotic pathways.

Depression and psoriasis are highly comorbid, yet their shared molecular mechanisms remain poorly understood. Utilizing cross-sectional data from NHAN...

Novel post-translational modification learning signature reveals DPP3 promotes progression of psoriasis by enhancing inflammatory activation.

BACKGROUND: Although post-translational modifications (PTMs) significantly influence the pathogenesis of psoriasis, their specific mechanisms remain p...

Quantitative Analysis of Retinal Fluid by a Deep Learning Model in Uveitic Macular Edema.

OBJECTIVE: To assess whether artificial intelligence (AI)-derived fluid volume provides prognostic value for visual outcomes in uveitic macular edema ...