A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …
A comprehensive literatures update of clinical researches of superparamagnetic resonance iron oxide nanoparticles for magnetic resonance imaging
This paper aims to update the clinical researches using superparamagnetic iron oxide
(SPIO) nanoparticles as magnetic resonance imaging (MRI) contrast agent published during …
(SPIO) nanoparticles as magnetic resonance imaging (MRI) contrast agent published during …
Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases
Magnetic nanoparticles possess unique properties distinct from other types of nanoparticles
developed for biomedical applications. Their unique magnetic properties and …
developed for biomedical applications. Their unique magnetic properties and …
Application of artificial intelligence in pharmaceutical and biomedical studies
Background: Artificial intelligence (AI) is the way to model human intelligence to accomplish
certain tasks without much intervention of human beings. The term AI was first used in 1956 …
certain tasks without much intervention of human beings. The term AI was first used in 1956 …
Iron oxide as an MRI contrast agent for cell tracking: supplementary issue
Iron oxide contrast agents have been combined with magnetic resonance imaging for cell
tracking. In this review, we discuss coating properties and provide an overview of ex vivo …
tracking. In this review, we discuss coating properties and provide an overview of ex vivo …
Current review and next steps for artificial intelligence in multiple sclerosis risk research
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory
disease of the nervous system, has increased, particularly in Northern European countries …
disease of the nervous system, has increased, particularly in Northern European countries …
[HTML][HTML] A systematic review of the application of machine-learning algorithms in multiple sclerosis
Introduction The applications of artificial intelligence, and in particular automatic learning or
“machine learning”(ML), constitute both a challenge and a great opportunity in numerous …
“machine learning”(ML), constitute both a challenge and a great opportunity in numerous …
Dimensional neuroimaging endophenotypes: neurobiological representations of disease heterogeneity through machine learning
Abstract Machine learning has been increasingly used to obtain individualized
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
[HTML][HTML] The role of advanced magnetic resonance imaging techniques in multiple sclerosis clinical trials
Magnetic resonance imaging has been crucial in the development of anti-inflammatory
disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is …
disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is …
Recent advances in development of nanomedicines for multiple sclerosis diagnosis
Multiple sclerosis (MS) is a neurodegenerative disease with a high morbidity and disease
burden. It is characterized by the loss of the myelin sheath, resulting in the disruption of …
burden. It is characterized by the loss of the myelin sheath, resulting in the disruption of …