Maluleke, Tirhani, Benecke, Rohan, Oladejo, Sunday, Feulner, Georg, Kern, Steve, Lister, Johanna, McClelland, Gabriel, Njoki, Miriam, Noack, Patrick, Petruccione, Francesco et al (show 4 more authors)
(2024)
Cross‐disciplinary mathematical modelling to benefit healthcare – could clinical pharmacology play an enabling role?
British Journal of Clinical Pharmacology, 90 (10).
pp. 2509-2516.
ISSN 0306-5251, 1365-2125
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Microsoft Word (OpenXML)
Clinical Pharmacology in the Symposium_Clean June2024.docx - Author Accepted Manuscript Download (2MB) |
Abstract
AbstractClinical pharmacology is often the nexus in any cross‐disciplinary team that is seeking solutions for human healthcare issues. The use and application of real‐world data and artificial intelligence to better understand our ecosystem has influenced our view at the world and how we do things. This has resulted in remarkable advancements in the healthcare space and development of personalized medicines with great attributes from the application of models and simulations, contributing to a more efficient healthcare development process. A cross‐disciplinary symposium was held in December 2023, whereby experts from different scientific disciplines engaged in a high‐level discussion on the opportunities and challenges of mathematical models in different fields, possible future developments and decision making. A strong interlink amongst the disciplines represented was apparent, with clinical pharmacology identified as the one which integrates various scientific disciplines. Deliberate and strategic cross‐disciplinary dialogues are required to break out of the silos and implement integration for efficiency and cost‐effectiveness of novel interventions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Africa, clinical pharmacology, cross-disciplinary, mathematical modelling, simulations |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 05 Aug 2024 07:19 |
| Last Modified: | 28 Feb 2026 20:41 |
| DOI: | 10.1111/bcp.16192 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3183310 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |

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