@article{datta2026artificial,
  title = {Artificial intelligence for food innovation},
  author = {Datta, Bianca and Buehler, Markus J. and Chow, Yvonne and Gligorić, Kristina and Jurafsky, Dan and Kaplan, David L. and Ledesma-Amaro, Rodrigo and Missier, Giorgia Del and Neidhardt, Lisa and Pichara, Karim and Sanchez-Lengeling, Benjamin and Schlangen, Miek and Pierre, Skyler R. St. and Tagkopoulos, Ilias and Thomas, Anna and Watson, Matthew and Kuhl, Ellen},
  journal = {Nature Food},
  volume = {7},
  pages = {644--654},
  year = {2026},
  month = jul,
  doi = {10.1038/s43016-026-01380-7},
  url = {https://doi.org/10.1038/s43016-026-01380-7},
  preprint = {https://arxiv.org/abs/2509.21556},
  keywords = {olfaction, proteins, datacentric-ai, reviews, ai},
  abstract = {Comprehensive review articulating an AI-driven framework for sustainable food formulation, spanning perception modeling, multi-omics fermentation engineering, and consumer acceptance.},
}