Cellular Agriculture × Artificial Intelligence
Cell Ag × AI
The curated library at the intersection of cellular agriculture and AI — peer-reviewed papers, open-source software, databases, and the per-species datasets the field trains on, all cross-linked back to canonical Markdown on GitHub.
Explore the library
Six collections — everything is cross-linked back to the canonical Markdown.
Papers
The full AI-method × research-area matrix over 197 references, with code & data links.
Open the explorer →Software
Open-source tools grouped by application area, framed for cell-ag use.
Browse tools →Databases
Repositories, ontologies, and lookup resources for query and reference.
Browse databases →Datasets by species
Cow, pig, chicken, fish & more — atlases, GEMs, deposits, plus benchmarks, across 14 pages.
Pick a species →Research Areas
Deep-dive pages: media, cell engineering, bioprocess, scaffolding, sensory…
Read the deep dives →Talks & Videos
Curated lectures and explainers, playable inline.
Watch →Start here
New to cell ag?
Watch the field foundations and pick up the reference reading.
New to AI?
Start with ML learning playlists built for bench scientists.
Looking for a method?
Filter the Papers matrix by AI method or research area.
Need training data?
Browse datasets by species, or benchmarks for model evaluation.