Part 12/15:
The AI agents analyzed literature and identified ROCK inhibitors, molecules known to influence cellular processes like phagocytosis, related to AMD pathology.
This hypothesis was then tested in vitro—the molecules showed promising results, even surpassing positive controls.
The system automated the experimental cycle: from hypothesis generation, in-lab testing, to data analysis, all largely automated, drastically speeding up discovery.
This success demonstrated how AI-driven, high-throughput hypotheses generation, coupled with lab validation, could accelerate the discovery pipeline—potentially transforming future scientific research into a faster, more integrated process.