Psoriasis

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, especially in pediatric Crohn's disease (CD). This study aimed to characterize the fecal virome in children with CD and evaluate its association with clinical response to infliximab (IFX) therapy. A total of 85 participants, including 60 pediatric CD patients and 25 healthy controls (HC), were recruited....

Global patterns and predictors of initial treatment in early rheumatoid arthritis: insights from a multinational machine learning study.

BACKGROUND: Rheumatoid arthritis (RA) treatment guidelines recommend early initiation of disease-modifying antirheumatic drugs (DMARDs), but actual prescribing decisions are influenced by multiple clinical and contextual factors. Machine learning (ML) offers a promising tool to uncover patterns in treatment selection and support personalized decision-making. OBJECTIVES: To identify the most import...

Motion capture dataset of 137 post-operative total hip replacement patients performing activities of daily living.

Three-dimensional motion capture is a powerful tool in clinical and engineering applications, but it can be time consuming, expensive, and difficult t...

Machine Learning-Driven R&D of Perovskites and Spinels: From Traditional Models to Deep Learning.

The development of strategic materials such as spinels and perovskites is hampered by the long cycles and low efficiency of traditional trial-and-erro...

A Gradient-Based Machine-Learning Inspired Inverse Modeling Approach for Characterization of Nonlinear Tissue Properties.

PURPOSE: Characterization of anisotropic nonlinear material properties along with fiber directions for soft tissues based on known deformations (strai...

Vessel-specific perivascular fat attenuation index derived from AI-CCTA and its association with impaired coronary flow reserve in patients with INOCA.

OBJECTIVES: To investigate the association between artificial intelligence (AI)-derived coronary computed tomography angiography (CCTA) features and i...

Developing a Metabolic-Associated Prognostic Index for Risk Stratification and Therapeutic Guidance in Stage I Lung Adenocarcinoma via Multiomics Analysis.

PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is not fully explained by TNM staging, highlighting t...

Human Behavior Identification for Linear Systems in Adversarial Environments by Adaptive Inverse Reinforcement Learning.

This article is concerned with the human behavior identification problem for linear human-in-the-loop (HiTL) systems in adversarial environments. By m...

Physics-Driven Neural Compensation for Electrical Impedance Tomography.

Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with significant potential in medical and industrial applicat...

Inverse design method of optical devices for generating target near-fields via physics-informed neural networks.

We propose a method for inverse design of optical devices to generate target near-fields using physics-informed neural networks (PINNs). A finite-diff...

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferation, impaired differentiation, and sustained inflam...

Physics-Guided Inverse Design of Nonfullerene Acceptors via a Deep-Learning-Accelerated Genetic Algorithm.

The discovery of high-performing nonfullerene acceptors (NFAs) for organic solar cells (OSCs) is challenged by the vastness of chemical space and the ...

A Bottom-Up Design Framework for Multifunctional Lattice Metamaterials.

Driven by the demands of light weighting, multifunctionality has become increasingly important in the design of lattice metamaterials. While inverse d...

Generative AI Uncovers Novel Chrebp/Txnip Axis Inhibitors with Potential Anti-inflammatory Activity.

Type 2 diabetes is driven in part by metabolic inflammation, where activation of the Chrebp/Txnip axis promotes NLRP3 inflammasome assembly, leading t...

Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations.

Physics-informed deep learning approaches have been developed to solve forward and inverse stochastic differential equation (SDE) problems with high-d...

Biomechanics-informed Non-rigid Medical Image Registration with Elasticity Theories.

Biomechanical modelling of soft tissue provides a method for constraining medical image registration, such that the estimated spatial transformation i...

Oral Nicotine Product Use and E-Cigarette Use Persistence in Adolescents and Young Adults: An Analysis Using Augmented Inverse Probability Weighting.

The impact of oral nicotine product (ONP) use on e-cigarette use persistence among adolescents and young adults (AYA) remains unclear. We applied augm...

Optimal management of oligometastatic prostate cancer: current state and future directions.

PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT...

Immunotherapy in Triple-Negative Breast Cancer: From Molecular Mechanisms to Precision Medicine-Overcoming Resistance and Optimizing Clinical Outcomes.

Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...

Inflammatory indices, machine learning and artificial intelligence in tubal ectopic pregnancy management.

OBJECTIVE: To assess the predictive value of hematologic and biochemical inflammatory indices for methotrexate (MTX) treatment outcomes in tubal ectop...