AI-informed conservation genomics

Research output: Contribution to journalComment/debatepeer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Genomic data and Artificial Intelligence (AI) models will start to play an increasingly important role in conservation biology. In a recent study, Wilder et al. (2023) analysed genomic data from 240 mammal species to predict their extinction risk categories in the Red List of the International Union for Conservation of Nature (IUCN). The study processed genomic data with a machine learning model, thereby demonstrating the value of these data for the conservation of biodiversity. Wilder et al. (2023) thus show how reference genomes—and thus, genomic data more broadly—could be used for initial, cost-effective extinction risk assessments, accelerating progress made in the Red List.
Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalHeredity
Volume132
Early online date27 Dec 2023
DOIs
Publication statusPublished - Jan 2024

Keywords

  • Artificial intelligence (AI)
  • conservation genomics
  • computer modelling

Cite this