Latest AI and machine learning research in psoriasis for healthcare professionals.
Models for predicting the probability of experiencing various health outcomes or adverse events over a certain time frame (e.g., having a heart attack in the next 5years) based on individual patient characteristics are important tools for managing patient care. Electronic health data (EHD) are appealing sources of training data because they provide access to large amounts of rich individual-level ...
Constructing coexpression and association networks with omics data is crucial for studying gene-gene interactions and underlying biological mechanisms. In recent years, learning the structure of a Gaussian graphical model from high-dimensional data using L1 penalty has been well-studied and many applications in bioinformatics and computational biology have been found. However, besides the problem ...
BACKGROUND: Since vitamin D is a recent known immunoregulatory factor in some diseases which are addressed in immune system disorders such as SLE, [ps...
BACKGROUND: Toxic effects of anti-cancer and other drugs on the normal tissues could be reduced by the herbal plants and their fractions. This study i...
Efficacy assessments using a combination of baricitinib and methotrexate necessitate the development of an analytical method for the determination of ...
OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikrein-kinin, fibrinolytic, and coagulation systems. ...
Methotrexate (MTX) is an antineoplastic drug, and due to its high toxicity, the therapeutic drug monitoring is strictly conducted in the clinical prac...
INTRODUCTION: Early prognostic factors for the clinical response in patients with rheumatoid arthritis (RA) after 1Â year of treatment with infliximab ...
A negative association between serum 25-hydroxyvitamn D (25[OH]D) concentrations and adiposity has been found in adults. We hypothesized that serum 25...
Psoriasis is a chronic inflammatory skin disease that has been associated with abnormal lipid metabolism. To characterize the lipid profile in Chinese...
In the field of human motor control, the motor synergy hypothesis explains how humans simplify body control dimensionality by coordinating groups of m...
Cytomegalovirus (CMV) retinitis is a late complication of organ and hematopoietic stem cell transplant, the risk of which depends on the degree of imm...
In this letter, we present the dynamical equation and corresponding artificial recurrent neural network for computing the Drazin inverse for arbitrary...
This paper presents a novel spatial kinematic model for multisection continuum arms based on mode shape functions (MSF). Modal methods have been used ...
This work addresses the inverse kinematics problem of a bioinspired octopus-like manipulator moving in three-dimensional space. The bioinspired manipu...
This paper presents a recurrent neural network (RNN) for computing the Drazin inverse of a real matrix in real time. This recurrent neural network (RN...
BACKGROUND: Ectopic pregnancy (EP) is the commonest cause of maternal mortality-related death in the first trimester. Methotrexate (MTX) remains the f...
In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) spectroscopy. The signal from the NIR optodes is pro...
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedu...
Estimating physical parameters from scientific images is a common inverse problem in materials characterization that often relies on expensive physics...