South KoreaHealthcare and life sciences2025 – ongoingVoronoi
Voronomics AI and lab platform for designing its own drug candidates
Voronoi says its Voronomics platform takes a drug target to a final candidate in 1 to 1.5 years
Problem
Finding a final drug candidate from a chosen target normally takes years. Voronoi wanted to shorten that stage for its cancer drug pipeline.
Approach
Voronoi built Voronomics, a platform that combines AI with its own lab work. It applies the platform to its main pipelines, which include eight anticancer programs. The company planned to present data on several of them at the AACR 2025 conference.
Results
Takeaway
The timeline is the company's own claim. The article gives no breakdown of how much of the time saving came from the AI side and how much from the lab side.
Categories
- Industry
- Healthcare and life sciences
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The article previews Voronoi's presentations at AACR 2025 and describes the Voronomics platform as applied to its main pipelines. It reports a discovery timeline of 1 to 1.5 years from target to final candidate, about a third of the conventional timeline. It also covers pipeline data and the share price.
Full details are in the original sources.