Latest AI and machine learning research in psoriasis for healthcare professionals.
objectives: Telomerase reverse transcriptase () promoter mutation, found in a subset of patients wi...
Palmoplantar pustulosis (PPP) is a variant of pustular psoriasis involving the palms and soles. The ...
EEG source localization remains a challenging problem given the uncertain conductivity values of the...
. Computed Tomography (CT) image registration makes fast and accurate imaging-based disease diagnosi...
BACKGROUND: The knee adduction moment, a biomechanical risk factor of knee osteoarthritis, is typica...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...
To provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexibl...
Microwave imaging is emerging as an alternative modality to conventional medical diagnostics technol...
Background Radiomics is the extraction of predefined mathematic features from medical images for the...
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in...
This article presents a new method for understanding and visualizing convolutional neural networks (...
This article proposes robust inverse Q -learning algorithms for a learner to mimic an expert's state...
Inverse kinematics problems (IKP) are ubiquitous in robotics for improved robot control in widesprea...
This work harnesses interpretable machine learning methods to address the challenging inverse design...
A connection between the general linear model (GLM) with frequentist statistical testing and machine...
The design of scatterers on demand is a challenging task that requires the investigation and develop...
We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse ren...
INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic ...
End-effector type upper limb rehabilitation robots (ULRRs) are connected to patients at one distal p...
Imbalanced datasets are prominent in real-world problems. In such problems, the data samples in one ...
This paper proposes a new meta-heuristic algorithm, named wild geese migration optimization (GMO) al...