
Computational models of biology for therapeutic confidence.

AI-driven understanding of gene expression is beginning to deliver powerful new capabilities for therapeutics developers.
At zeroshot bio, we create computational pipelines that explore how zebrafish can contribute to pre-clinical insights for humans.
Why zebrafish?
Humans and zebrafish are both vertebrates, and zebrafish embryos can produce whole-vertebrate drug-response readouts at scale. One experiment records a compound's effect across every tissue, cell by cell. It's an increasingly popular animal model, with ideal unit-economics for AI-scale training and rapid turnaround time.
By pairing high-throughput scRNA sequencing of drug-perturbed zebrafish with phenotypic screening, we aim to combine molecular and whole-animal evidence into features a model can learn from and a drug developer will actually care about.
Email steven@zeroshot.bio
if you'd like to get in touch.
- zeroshot /ˈziː.roʊ ˌʃɒt/
- A model's ability to generate accurate predictions for contexts it was never explicitly trained on.
