Marzi, Sarah J;
Schilder, Brian M;
Nott, Alexi;
Frigerio, Carlo Sala;
Willaime-Morawek, Sandrine;
Bucholc, Magda;
Hanger, Diane P;
... Llewellyn, David J; + view all
(2023)
Artificial intelligence for neurodegenerative experimental models.
Alzheimer's & Dementia
10.1002/alz.13479.
(In press).
Preview |
Text
Alzheimer s Dementia - 2023 - Marzi - Artificial intelligence for neurodegenerative experimental models.pdf - Published Version Download (932kB) | Preview |
Abstract
INTRODUCTION: Experimental models are essential tools in neurodegenerative disease research. However, the translation of insights and drugs discovered in model systems has proven immensely challenging, marred by high failure rates in human clinical trials. METHODS: Here we review the application of artificial intelligence (AI) and machine learning (ML) in experimental medicine for dementia research. RESULTS: Considering the specific challenges of reproducibility and translation between other species or model systems and human biology in preclinical dementia research, we highlight best practices and resources that can be leveraged to quantify and evaluate translatability. We then evaluate how AI and ML approaches could be applied to enhance both cross-model reproducibility and translation to human biology, while sustaining biological interpretability. DISCUSSION: AI and ML approaches in experimental medicine remain in their infancy. However, they have great potential to strengthen preclinical research and translation if based upon adequate, robust, and reproducible experimental data. HIGHLIGHTS: There are increasing applications of AI in experimental medicine. We identified issues in reproducibility, cross-species translation, and data curation in the field. Our review highlights data resources and AI approaches as solutions. Multi-omics analysis with AI offers exciting future possibilities in drug discovery.
| Type: | Article |
|---|---|
| Title: | Artificial intelligence for neurodegenerative experimental models |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/alz.13479 |
| Publisher version: | https://doi.org/10.1002/alz.13479 |
| Language: | English |
| Additional information: | © 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | FAIR, animal models, artificial intelligence, comparative biology, dementia, experimental models, iPSC, in silico, in vitro, in vivo, machine learning, neurodegeneration, preclinical, reproducibility, translation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10178115 |
Archive Staff Only
 |
View Item |
