The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions

Title
The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions
Publication Date
2024-01-24
Author(s)
Smith, Robert Brian
( author )
OrcID: https://orcid.org/0000-0002-3369-1106
Email: rsmit242@myune.edu.au
UNE Id une-id:rsmit242
Perry, Mark
( author )
OrcID: https://orcid.org/0000-0003-4251-3405
Email: mperry21@une.edu.au
UNE Id une-id:mperry21
Smith, Darryl Robert
Editor
Editor(s): Thomas Walker, Stefan Wendt, Sherif Goubran and Tyler Schwartz
Type of document
Book Chapter
Language
en
Entity Type
Publication
Publisher
Palgrave Macmillan
Place of publication
Cham, Switzerland
Edition
1
DOI
10.1007/978-3-031-49979-1_10
UNE publication id
une:1959.11/57629
Abstract

This chapter investigates artificial intelligence (AI)'s potential role in developing a comprehensive process to identify efficacious traditional and complementary medicines by marginalized communities in tropical regions for use in commercial applications. AI's latest step forward in machine intelligence and learning has been driven by higher levels of code, investment, hardware, and widely available datasets. We outline an approach to leverage such technologies, which aims to benefit society through access to better treatments based on traditional medicines while maintaining principles of sustainability and fairness for communities at the source of the knowledge. This approach can also ensure the protection of biodiversity in ecologically sensitive environments.

Link
Citation
Artificial Intelligence for Sustainability: Innovations in Business and Financial Services, p. 207-228
ISBN
9783031499791
9783031499784
9783031499814
Start page
207
End page
228

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