Harnessing Artificial Intelligence for the Diagnosis, Treatment and Research of Multiple Sclerosis
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system affecting over 2.8 million people around the world. Artificial intelligence (AI) is becoming increasingly utilised in many areas, including patient care for MS. AI is revolutionising the diagnosis and treatment of MS by e...
Saved in:
| Main Authors: | Manisha S. Patil, Linda Y. Lin, Rachel K. Ford, Elizaveta J. James, Stella Morton, Felix Marsh-Wakefield, Simon Hawke, Georges E. Grau |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Sclerosis |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-3064/3/2/15 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiple sclerosis and pregnancy. Impact of multiple sclerosis disease-modifying therapy on the health of newborns
by: T. I. Yakushina
Published: (2021-02-01) -
Clinical recommendations for the use of ocrelizumab in patients with multiple sclerosis
by: A. N. Boyko, et al.
Published: (2019-11-01) -
Harnessing Artificial Intelligence for the Provision of Personalised Nutrition Advice to Population Groups across the UK
by: Saskia Wilson-Barnes, et al.
Published: (2024-02-01) -
Multiple sclerosis: a practical review for pathologists
by: Rachel A. Multz, et al.
Published: (2025-07-01) -
Optimization of therapy in secondary progressive multiple sclerosis
by: A. N. Boyko, et al.
Published: (2024-08-01)