Digital twins for multiple sclerosis

I Voigt, H Inojosa, A Dillenseger, R Haase… - Frontiers in …, 2021 - frontiersin.org
An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …

Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities

N Aslam, IU Khan, A Bashamakh, FA Alghool… - Sensors, 2022 - mdpi.com
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …

[HTML][HTML] Role of artificial intelligence in MS clinical practice

R Bonacchi, M Filippi, MA Rocca - NeuroImage: Clinical, 2022 - Elsevier
Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

Multiplex analysis of serum cytokine profiles in systemic lupus erythematosus and multiple sclerosis

MM Melamud, EA Ermakov, AS Boiko… - International Journal of …, 2022 - mdpi.com
Changes in cytokine profiles and cytokine networks are known to be a hallmark of
autoimmune diseases, including systemic lupus erythematosus (SLE) and multiple sclerosis …

Artificial intelligence in the diagnosis of multiple sclerosis: a systematic review

F Nabizadeh, S Masrouri, E Ramezannezhad… - Multiple sclerosis and …, 2022 - Elsevier
Abstract Background: In recent years Artificial intelligence (AI) techniques are rapidly
evolving into clinical practices such as diagnosis and prognosis processes, assess …

Autoreactive lymphocytes in multiple sclerosis: Pathogenesis and treatment target

R Liu, S Du, L Zhao, S Jain, K Sahay… - Frontiers in …, 2022 - frontiersin.org
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system
(CNS) characterized by destruction of the myelin sheath structure. The loss of myelin leads …

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

MZ Hossain, E Daskalaki, A Brüstle… - BMC Medical Informatics …, 2022 - Springer
Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity,
and progression over time vary enormously among individuals. Ideally, each person living …

Current review and next steps for artificial intelligence in multiple sclerosis risk research

M Hartmann, N Fenton, R Dobson - Computers in Biology and Medicine, 2021 - Elsevier
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 …

Diagnostic performance of artificial intelligence in multiple sclerosis: a systematic review and meta-analysis

F Nabizadeh, E Ramezannezhad, A Kargar… - Neurological …, 2023 - Springer
Background The expansion of the availability of advanced imaging methods needs more
time, expertise, and resources which is in contrast to the primary goal of the imaging …

[HTML][HTML] A systematic review of the application of machine-learning algorithms in multiple sclerosis

M Vázquez-Marrufo, E Sarrias-Arrabal… - Neurología (English …, 2023 - Elsevier
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 …