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Turbine

Cell-based simulations for better cancer therapies.

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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.

✨ Key Features

  • Simulated Cellβ„’ platform
  • Dynamic modeling of cancer biology
  • Target identification
  • Biomarker discovery
  • Rational combination therapy design

🎯 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.

🎯 Use Cases (4)

Oncology drug discovery Identifying novel cancer targets Understanding drug resistance Designing combination therapies

βœ… Best For

  • Has multiple discovery programs and collaborations with pharmaceutical companies.

πŸ’‘ Check With Vendor

Verify these considerations match your specific requirements:

  • Drug discovery for non-cancer indications

πŸ† Alternatives

Recursion Pharmaceuticals BenevolentAI

Offers a more mechanistic and dynamic understanding of cancer biology compared to more data-driven or phenotypic approaches.

πŸ’» Platforms

NA

πŸ”Œ Integrations

NA

πŸ›Ÿ Support Options

  • βœ“ Email Support
  • βœ“ Dedicated Support (NA tier)

πŸ’° Pricing

Contact for pricing

Free tier: NA

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