Psoriasis

Risk-Stratified Biologic Efficacy in Ulcerative Colitis: A Multicenter Machine Learning Study.

BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognostication and therapeutic decision making. Current tools inadequately predict progression or identify patients most likely to benefit from biologic therapies. We aimed to develop a machine learning model for risk stratification and evaluate its utility in optimizing biologic therapy outcomes. METHODS: ...

Broadband visible-light anti-reflection enabled by a bilayer dielectric metamaterial with deep-learning-driven inverse design.

Achieving ultra-low reflection across the visible spectrum and under wide incident angles is of considerable importance for broadband antireflection coatings and optical interface engineering. Here, we introduce a bilayer subwavelength dielectric metamaterial together with a rapid and generalizable inverse-design framework based on a tandem residual deep neural network architecture. The metamateri...

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Levera...

Machine learning-guided inverse design of persulfate catalysts: From global screening to targeted single-atom synthesis.

Achieving both high activity and precise control over reaction pathways (radical vs. non-radical) in persulfate-based advanced oxidation processes (PS...

Inverse treatment planning using deep learning-based organs at risk in radiotherapy for head and neck cancer: a prospective planning study.

PURPOSE: Radiotherapy (RT) planning for head and neck squamous cell carcinoma (HNSCC) is known to be both challenging and time-consuming. Deep learnin...

Multi-omics and machine learning reveal a critical mediator of PRKCA in quercetin-mediated protection against Sarcopenia.

BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavon...

CT Radiomic Features Are Associated with DNA Copy Number Alterations of Head and Neck Squamous Cell Carcinomas.

BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) genomes is characterized by a high prevalence of copy...

Distinctive DNA sequence features define epigenetic longevity of inflammatory memory.

Tissues harbor memories of inflammation, which heighten sensitivity to diverse future assaults. Whether and how these adaptations are sustained throug...

TCR recognition of peptide-HLA class II complexes in autoimmunity: Structural insights for therapeutic targeting.

Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

Inverse treatment planning is pivotal in tumor treatment planning. It enables the multi-objective optimization of radiation dose delivery, ensuring pr...

Microstructure-Mediated Inverse Design of Thermal Barrier Coatings via Interpretable, Data-Efficient Machine Learning.

Microstructure control is critical for thermal barrier coating (TBC) performance, yet the complex, nonlinear process-structure relationships impede pr...

ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity.

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although th...

Inflammatory protein profiling in immune cells identifies molecular signatures for enhanced diagnostic precision in psoriatic arthritis.

Psoriatic arthritis (PsA) lacks reliable biomarkers to support early diagnosis and disease stratification. This study aimed to identify protein signat...

Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disorder characterized by non-scarring hair loss due to immune dysregulation. Despite advances, it...

Flow-QSM: bridging learned priors and physical models for quantitative susceptibility mapping.

OBJECTIVE: Quantitative Susceptibility Mapping (QSM) is a magnetic resonance imaging technique that quantifies tissue magnetic susceptibility by s...

Quantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning.

The inverse design (ID) of molecules remains one of the greatest challenges in chemistry. Machine learning and artificial intelligence (AI) methods ar...

The promise of biomarkers in Psoriatic Arthritis: Moving towards precision medicine.

Psoriatic arthritis is a heterogeneous disease where delayed diagnosis and variable treatment responses remain significant challenges. This review add...

Identification of mitochondrial dynamics-related biomarkers in psoriasis using bioinformatics and Mendelian randomization.

Mitochondrial dynamics (MD) are crucial in various inflammatory disorders, yet the specific mechanisms involved in psoriasis remain inadequately under...

Foundation Model and Multi-Instance Learning-Based Framework for Predicting Lymphovascular Invasion in Prostate Cancer.

BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostate cancer (PCa). This study aimed to develop and va...

InFoRM: a unified inverse and forward model for sensorimotor control.

Sensorimotor control models traditionally consist of two types of internal models: inverse models, which compute the motor commands needed to reach a ...