Computational models to predict disease course and treatment response in multiple sclerosis
Author:
Affiliation:
1. University of Catania,Dept. of Drug and Health Sciences,Catania,Italy
2. University of Catania,Dept. of Mathematics and Computer Sciences,Catania,Italy
3. Centro Sclerosi Multipla, UOC Neurologia,ARNAS Garibaldi,Catania,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698465.pdf?arnumber=9698465
Reference18 articles.
1. Inferring Multiple Sclerosis Stages from the Blood Transcriptome via Machine Learning
2. Prediction of disease progression and outcomes in multiple sclerosis with machine learning
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5. Analysis of vaccine’s schedules using models
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1. Advancements in Multiple Sclerosis Disease Classification Through Machine Learning;2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS);2023-09-01
2. Could Mathematics be the Key to Unlocking the Mysteries of Multiple Sclerosis?;Bulletin of Mathematical Biology;2023-06-29
3. Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions;PLOS Digital Health;2023-05-15
4. Data integration between clinical research and patient care: a framework for context-depending data sharing and in silico predictions;2022-10-13
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