Dermatology

Psoriasis

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

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Dermatology Subcategories: Atopy Psoriasis
Showing 379-399 of 2,098 articles
g-Distance: On the comparison of model and human heterogeneity.

Models are often evaluated when their behavior is at its closest to a single, sometimes averaged, se...

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating p...

Predicting psoriasis severity using machine learning: a systematic review.

BACKGROUND: In dermatology, the applications of machine learning (ML), an artificial intelligence (A...

Research on equipment fault diagnosis model based on gan and inverse PINN: Solutions for data imbalance and rare faults.

In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable...

Inverse modeling, analysis and control of twin rotor aerodynamic systems with optimized artificial intelligent controllers.

This paper suggests a novel optimal inverse Radial Basis Function (RBF) neural network model for the...

gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design.

Fundamental to the diverse biological functions of RNA are its 3D structure and conformational flexi...

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...

Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods.

Gut microbes is a crucial factor in the pathogenesis of type 1 diabetes (T1D). However, it is still ...

Neural Networks-Based Approach to Solve Inverse Kinematics Problems for Medical Applications.

GOAL: Motion capture is used for recording complex human movements that is increasingly applied in m...

Deep Residual Neural Networks for Spatial EEG Source Imaging.

EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing metho...

Dynamic Inverse Reinforcement Learning for Feedback-driven Reward Estimation in Brain Machine Interface Tasks.

Reinforcement learning (RL)-based brain machine interfaces (BMIs) provide a promising solution for p...

Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence.

Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degree...

Image-based remote evaluation of PASI scores with psoriasis by the YOLO-v4 algorithm.

As a chronic relapsing disease, psoriasis is characterized by widespread skin lesions. The Psoriasis...

ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization.

Drug discovery and development constitute a laborious and costly undertaking. The success of a drug ...

Real-World Screening Data for Liver Fibrosis in Psoriasis Patients Treated with Biologics.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is positively associate...

Robotic Pills as Innovative Personalized Medicine Tools: A Mini Review.

The most common route for drug administration is the oral route due to the various advantages offere...

Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance.

PURPOSE: To apply deep learning algorithms to histopathology images, construct image-based subtypes ...

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe tha...

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