Artificial Intelligence for the Detection, Classification, and Toxicity Prediction of Natural Toxins: A Methodologically Oriented Scoping Review
Abstract
This project contains the registered protocol for a PRISMA-ScR-guided scoping review aimed at systematically mapping machine learning approaches applied to natural toxin toxicity prediction. The protocol defines eligibility criteria, search strategy, screening procedures, and data extraction framework prior to synthesis to ensure methodological transparency.
Fields of Study & Subjects
Computational Drug Discovery Methods
Artificial Intelligence in Healthcare
Venomous Animal Envenomation and Studies
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint