Doherty, T;
Yao, Z;
Khleifat, AAL;
Tantiangco, H;
Tamburin, S;
Albertyn, C;
Thakur, L;
... Duce, JA; + view all
(2023)
Artificial intelligence for dementia drug discovery and trials optimization.
Alzheimer's and Dementia
10.1002/alz.13428.
(In press).
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Abstract
Drug discovery and clinical trial design for dementia have historically been challenging. In part these challenges have arisen from patient heterogeneity, length of disease course, and the tractability of a target for the brain. Applying big data analytics and machine learning tools for drug discovery and utilizing them to inform successful clinical trial design has the potential to accelerate progress. Opportunities arise at multiple stages in the therapy pipeline and the growing availability of large medical data sets opens possibilities for big data analyses to answer key questions in clinical and therapeutic challenges. However, before this goal is reached, several challenges need to be overcome and only a multi-disciplinary approach can promote data-driven decision-making to its full potential. Herein we review the current state of machine learning applications to clinical trial design and drug discovery, while presenting opportunities and recommendations that can break down the barriers to implementation.
| Type: | Article |
|---|---|
| Title: | Artificial intelligence for dementia drug discovery and trials optimization |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/alz.13428 |
| Publisher version: | https://doi.org/10.1002/alz.13428 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Alzheimer’s Disease, artificial Intelligence, big data, clinical trials, dementia, drug discovery, machine learning |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10175998 |
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