Psoriasis

Force and Torque Characterization in the Actuation of a Walking-Assistance, Cable-Driven Exosuit.

Soft exosuits stand out when it comes to the development of walking-assistance devices thanks to bot...

Modern machine learning for tackling inverse problems in chemistry: molecular design to realization.

The discovery of new molecules and materials helps expand the horizons of novel and innovative real-...

Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.

Electrocardiographic imaging (ECGi) reconstructs electrograms at the heart's surface using the poten...

The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.

Deep learning (DL) has had unprecedented success and is now entering scientific computing with full ...

Effectiveness of Artificial Neural Networks for Solving Inverse Problems in Magnetic Field-Based Localization.

Recently, indoor localization has become an active area of research. Although there are various appr...

Extended DeepILST for Various Thermodynamic States and Applications in Coarse-Graining.

Molecular dynamics (MD) simulations are widely used to obtain the microscopic properties of atomisti...

Measurement of Body Surface Area for Psoriasis Using U-net Models.

During the evaluation of body surface area (BSA), precise measurement of psoriasis is crucial for as...

Boundary curvature guided programmable shape-morphing kirigami sheets.

Kirigami, a traditional paper cutting art, offers a promising strategy for 2D-to-3D shape morphing t...

Deep Learning Application for Effective Classification of Different Types of Psoriasis.

Psoriasis is a chronic inflammatory skin disorder mediated by the immune response that affects a lar...

Precipitate-Supported Thermal Proteome Profiling Coupled with Deep Learning for Comprehensive Screening of Drug Target Proteins.

Although thermal proteome profiling (TPP) acts as a popular modification-free approach for drug targ...

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials.

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to individua...

Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.

In view of the growth of clinical risk prediction models using genetic data, there is an increasing ...

Design and Characterization of Liposomal Methotrexate and Its Effect on BT-474 Breast Cancer Cell Line.

Breast cancer is the most common type of cancer among women worldwide. Traditional treatments, incl...

An Improved Weighted Gradient Projection Method for Inverse Kinematics of Redundant Surgical Manipulators.

Different from traditional redundant manipulators, the redundant manipulators used in the surgical e...

Individual deformability compensation of soft hydraulic actuators through iterative learning-based neural network.

Robotic devices with soft actuators have been developed to realize the effective rehabilitation of p...

Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.

Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage ...

Epistemic uncertainty quantification in deep learning classification by the Delta method.

The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical model...

Blood-Based Immune Profiling Combined with Machine Learning Discriminates Psoriatic Arthritis from Psoriasis Patients.

Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoria...

Can artificial intelligence be used for accurate remote scoring of the Psoriasis Area and Severity Index in adult patients with plaque psoriasis?

The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse.

In this paper, we propose the generalized extreme learning machine (GELM). GELM is an ELM that incor...

The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients.

To investigate the impact of training sample size on the performance of deep learning-based organ au...