Dermatology

Psoriasis

Latest AI and machine learning research in psoriasis for healthcare professionals.

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Dermatology Subcategories: Atopy Psoriasis
Showing 1-21 of 2,098 articles
Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression...

Challenges and Opportunities in Psoriatic Disease: An Integrated View of the Future.

Psoriatic disease (PsD), which includes cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), aff...

Hot Topics: Exploring Artificial Intelligence and Inflammatory Memory in the Management of Psoriatic Diseases.

The "hot topics" session of the Group for Research and Assessment of Psoriasis and Psoriatic Arthrit...

The Scientific Method and Advancing Omic Technologies: Breakthroughs in Psoriatic Disease.

A morning workshop addressing the topic of "What You Always Wanted to Know About Science but Were Af...

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions.

Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding b...

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for th...

Drug repurposing for osteoarthritis disease modification in the Early 21 Century.

Osteoarthritis (OA) is a leading cause of disability worldwide, significantly impacting patient mobi...

Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.

Many aquatic vertebrates rely on neuromasts in their lateral line system to detect water vibrations ...

An Innovative Machine Learning Based Multistage Signal Amplification Method Breaks through the Detection Limits of Conventional Optical Sensors.

Surface plasmon resonance (SPR) enables in situ, label-free, real-time molecular detection. However,...

Precision nutrition in epigenetic aging: SHAP-optimized machine learning identifies omega-3 constituent-specific associations with aging biomarkers.

This cross-sectional investigation seeks to examine the association between dietary omega-3 fatty ac...

Advancements and challenges in inverse lithography technology: a review of artificial intelligence-based approaches.

Inverse lithography technology (ILT) is a promising approach in computational lithography to address...

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments.

The emerging density in today's urban environments requires a strong multi-camera architecture for r...

Machine learning-driven inverse design of puncture needles with tailored mechanics.

BACKGROUND: In minimally invasive surgery, designing puncture needles with customizable structures t...

A longitudinal cohort study uncovers plasma protein biomarkers predating clinical onset and treatment response of rheumatoid arthritis.

Rheumatoid arthritis (RA) is a systemic inflammatory condition posing challenges in identifying biom...

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions.

In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is ...

Deep Learning-Assisted Inverse Design of Transparent Absorbers Based on Ionic Liquids Using Mixture Density Networks.

Machine learning has emerged as a powerful tool for the inverse design of various device structures ...

Inverse Design of Manufacturable Infrared Metasurfaces Based on Multimodal Deep Learning Methods.

Neural networks have emerged as an effective method for inverse design of metasurfaces. Despite sign...

Beam orientation optimization in IMRT using sparse mixed integer programming and non-convex fluence map optimization.

Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, no...

Diagnosis of psoriasis and lichen planus in real-time using neural networks based on skin Biomechanical properties obtained from numerical simulation.

Due to their similar clinical presentations, the scarcity of competent dermatologists, and the urgen...

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