Dermatology

Psoriasis

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

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Dermatology Subcategories: Atopy Psoriasis
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Exploiting geometric biases in inverse nano-optical problems using artificial neural networks.

Solving the inverse problem is a major challenge in contemporary nano-optics. However, frequently no...

Label-free neural networks-based inverse lithography technology.

Neural network-based inverse lithography technology (NNILT) has been used to improve the computation...

Resonance prediction and inverse design of multi-core selective couplers based on neural networks.

Resonance analysis and structural optimization of multi-channel selective fiber couplers currently r...

Hierarchical multiloop MPC scheme for robot manipulators with nonlinear disturbance observer.

This paper addresses the robust enhancement problem in the control of robot manipulators. A new hier...

Long short-term memory neural network for directly inverse design of nanofin metasurface.

In this Letter, the neural network long short-term memory (LSTM) is used to quickly and accurately p...

Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.

PURPOSE: There is a need for an improved understanding of clinical and biologic risk factors in pedi...

AIPW: An R Package for Augmented Inverse Probability-Weighted Estimation of Average Causal Effects.

An increasing number of recent studies have suggested that doubly robust estimators with cross-fitti...

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional cla...

A Combination of Deep Neural Networks and Physics to Solve the Inverse Problem of Burger's Equation.

One of the most basic nonlinear Partial Differential Equations (PDEs) to model the effects of propag...

Learning hidden elasticity with deep neural networks.

Elastography is an imaging technique to reconstruct elasticity distributions of heterogeneous object...

Deep inverse reinforcement learning for structural evolution of small molecules.

The size and quality of chemical libraries to the drug discovery pipeline are crucial for developing...

Reducing Metabolic Cost During Planetary Ambulation Using Robotic Actuation.

Current spacesuits are cumbersome and metabolically expensive. The use of robotic actuators could i...

Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor n...

Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently.

The number of 'small' molecules that may be of interest to chemical biologists - chemical space - is...

Inverse mechano-electrical reconstruction of cardiac excitation wave patterns from mechanical deformation using deep learning.

The inverse mechano-electrical problem in cardiac electrophysiology is the attempt to reconstruct el...

Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired d...

Stability and compatibility of methotrexate and dexamethasone in 0.9% sodium chloride for intrathecal injection.

The stability of a mixture of methotrexate and dexamethasone sodium phosphate in 0.9% sodium chlorid...

Pathomics in urology.

PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is cu...

Artificial neural networks for the inverse design of nanoparticles with preferential nano-bio behaviors.

Safe and efficient use of ultrasmall nanoparticles (NPs) in biomedicine requires numerous independen...

Learning Conflicts for C-arm Kinematic Modeling using Artificial Intelligence.

During common surgical tasks related to orthopedic applications, it is necessary to carefully manipu...

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