Case Study: Vivan Therapeutics speeds cancer drug screening with V7 Darwin

How Vivan Therapeutics Uses V7 to Provide Drug Screens to Cancer Patients Faster

Vivan Therapeutics, a London-based personalized cancer therapeutics platform, needed a way to speed up its patented Personal Discovery Process, which uses fly avatars to screen drug combinations for cancer patients. The team was spending a lot of time manually counting and classifying pupae from thousands of images per patient, creating bottlenecks from labor, storage, and human error. They turned to V7 Darwin to support the data labeling and model training pipeline.

Using V7, Vivan Therapeutics built classification and segmentation workflows with model-assisted curation, auto-annotation, and quality assurance. The system reached 96% accuracy and helped save up to 4.5 days of work per patient, improving lab throughput and reducing errors. V7 also provided the APIs, labelers, and machine learning support needed to move toward fuller automation of the screening process.

Vivan Therapeutics

Andrea Chai

VP Compliance & Lab Automation