Brain organoid QC relies on destructive assays or subjective visual inspection. Manufacturers avoid existing computational solutions due to complex setup requirements.
We're developing an AI infrastructure for non-invasive organoid QC, looking into predictive forecasting for organoid maturation success from limited sequential microscopy data.
This transforms organoid research from reactive to predictive.
Currently partnering w/ Sun Lab @ UMass Amherst.