Dermatology

Psoriasis

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

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Dermatology Subcategories: Atopy Psoriasis
Showing 274-294 of 2,098 articles
Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision.

In this paper, we evaluate a semiautonomous brain-computer interface (BCI) for manipulation tasks. I...

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data.

A variational model for learning convolutional image atoms from corrupted and/or incomplete data is ...

Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can prov...

Big Data Challenges Targeting Proteins in GPCR Signaling Pathways; Combining PTML-ChEMBL Models and [S]GTPγS Binding Assays.

G-protein-coupled receptors (GPCRs), also known as 7-transmembrane receptors, are the single largest...

Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.

BACKGROUND: Psoriasis is associated with elevated risk of heart attack and increased accumulation of...

Smart identification of psoriasis by images using convolutional neural networks: a case study in China.

BACKGROUND: Psoriasis is a chronic inflammatory skin disease, which holds a high incidence in China....

Coupled artificial neural networks to estimate 3D whole-body posture, lumbosacral moments, and spinal loads during load-handling activities.

Biomechanical modeling approaches require body posture to evaluate the risk of spine injury during m...

A probabilistic method to estimate gait kinetics in the absence of ground reaction force measurements.

Human joint torques during gait are usually computed using inverse dynamics. This method requires a ...

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs.

BACKGROUND: Sex and age have long been known to affect the ECG. Several biologic variables and anato...

Compositionally-warped Gaussian processes.

The Gaussian process (GP) is a nonparametric prior distribution over functions indexed by time, spac...

Classification of Skin Disease using Ensemble Data Mining Techniques.

Objective: Skin diseases are a major global health problem associated with high number of people. Wi...

Data augmentation in dermatology image recognition using machine learning.

BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic derm...

Recomputation of the Dense Layers for Performance Improvement of DCNN.

Gradient descent optimization of learning has become a paradigm for training deep convolutional neur...

Subrecursive neural networks.

It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using t...

Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential d...

DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

The purpose of this research was to implement a deep learning network to overcome two of the major b...

IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This...

Estimation of constitutive parameters of the aortic wall using a machine learning approach.

The patient-specific biomechanical analysis of the aorta requires the quantification of the mechani...

Inverse-micelle synthesis of doxorubicin-loaded alginate/chitosan nanoparticles and assessment of breast cancer cytotoxicity.

Naturally-derived polysaccharides, such as alginate and chitosan, can be assembled to form nanocarri...

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