Led by the BioComputing UP lab with broad participation from the ELIXIR Machine Learning Focus Group and involving experts from over 10 ELIXIR Nodes, a new perspective published in Nature Methods addresses the reproducibility, reusability and environmental crises in biological AI.

The paper introduces 9 actionable recommendations for Open and Sustainable AI (OSAI) and provides researchers with a mapped ecosystem of over 300 tools to ensure AI outputs are reusable, reproducible, and environmentally sustainable.

A step forward in building responsible AI in the life sciences.

The paper is available on Nature Methods <https://www.nature.com/articles/s41592-026-03037-6>

For the official press release, see: <https://www.unipd.it/sites/unipd.it/files/RICERCA%20 -%20Per%20un%20uso%20sostenibile%20dell%27Intellegenza%20Artificiale.pdf>