Phenomics in AI-Driven Research
Phenomics is the study of high-dimensional phenotypic variation within and across populations, and it plays a central role in understanding evolutionary biology. This page highlights how AI tools are helping researchers explore phenotypic traits, variations, and the high-dimensional phenotype. From extraction of discrete traits to pose estimations, AI-based methods are opening new frontiers in phenomics.
Learn how AI technologies are transforming the study and extraction of phenotypic data.
Citation:
Y. He, J.M. Mulqueeney, E.C. Watt, A. Salili-James, N.S. Barber, M. Camaiti,
E.S.E. Hunt, O. Kippax-Chui, A. Knapp, A. Lanzetti, G. Rangel-de Lázaro,
J.K. McMinn, J. Minus, A.V. Mohan, L.E. Roberts, D. Adhami,
E. Grisan, Q. Gu, V. Herridge, S. Poon, T. West, and A. Goswami. (2024).
Opportunities and challenges in applying AI to evolutionary morphology.
Published in Integrative Organismal Biology, obae036.
Read the article here