| Title: |
Neurodegenerative disease of the brain: a survey of interdisciplinary approaches |
| Authors: |
Davenport, F; Gallacher, J; Kourtzi, Z; Koychev, I; Matthews, PM; Oxtoby, NP; Parkes, LM; Priesemann, V; Rowe, JB; Smye, SW; Zetterberg, H |
| Source: |
Journal of the Royal Society: Interface , 20 (198) , Article 20220406. (2023) |
| Publisher Information: |
The Royal Society |
| Publication Year: |
2023 |
| Collection: |
University College London: UCL Discovery |
| Subject Terms: |
brain; data; imaging; models; neurodegenerative diseases; physics; Humans; Artificial Intelligence |
| Description: |
Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over the last decade. Interdisciplinary research is improving understanding of these diseases and this article reviews such approaches, with particular emphasis on tools and techniques drawn from physics, chemistry, artificial intelligence and psychology. |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| Relation: |
https://discovery.ucl.ac.uk/id/eprint/10164141/1/rsif.2022.0406.pdf; https://discovery.ucl.ac.uk/id/eprint/10164141/ |
| Availability: |
https://discovery.ucl.ac.uk/id/eprint/10164141/1/rsif.2022.0406.pdf; https://discovery.ucl.ac.uk/id/eprint/10164141/ |
| Rights: |
open |
| Accession Number: |
edsbas.870A995C |
| Database: |
BASE |