Turbine
Cell-based simulations for better cancer therapies.
Overview
Turbine has developed the Simulated Cellβ’ platform, which uses AI to create a digital version of a cancer cell and simulate its response to different drugs. This allows them to identify novel targets, understand resistance mechanisms, and design more effective cancer therapies. They have a pipeline of oncology programs and partner with pharmaceutical companies.
β¨ Key Features
- Simulated Cellβ’ platform
- Dynamic modeling of cancer biology
- Target identification
- Biomarker discovery
- Rational combination therapy design
π― Key Differentiators
- Focus on simulating cancer cell biology at a molecular level.
- The Simulated Cellβ’ platform for in silico experiments.
- Ability to model and predict drug resistance.
Unique Value: Accelerates the discovery of new cancer therapies by using AI to simulate and understand the complex biology of cancer cells.
π― Use Cases (4)
β Best For
- Has multiple discovery programs and collaborations with pharmaceutical companies.
π‘ Check With Vendor
Verify these considerations match your specific requirements:
- Drug discovery for non-cancer indications
π Alternatives
Offers a more mechanistic and dynamic understanding of cancer biology compared to more data-driven or phenotypic approaches.
π» Platforms
π Integrations
π Support Options
- β Email Support
- β Dedicated Support (NA tier)
π° Pricing
Free tier: NA
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