turbine.ai - Unlock therapies with Simulated Cells™

Description: Turbine’s leverages AI in an evolving, predictive platform to understand cancer mechanisms and unlock novel therapies with Simulated Cells.™

Example domain paragraphs

The complexity of the model systems sharply increases along the drug discovery process, while only a limited number of experimental models are available that accurately reflect human disease.

Conventional in vitro and in vivo models cannot capture disease behavior in real patients, and tools – like CRISPR – don’t act like actual drugs. Drug discovery is costly, time consuming, model systems have poor translation rates to patients and do not significantly reduce the risk of failure in the clinic. This makes it incredibly hard to translate preclinical hypotheses to the clinic and create targeted drugs that truly help.

Before running any wet lab experiments, Turbine computationally simulates tumor cell behavior in patients to understand the complex mechanisms driving the disease. Simulations can reveal the right modality and combination approach to treat even the most resistant cancers. Observing these in silico experiments our biologists and translational experts gain insight into the molecular context by which mono- and combination therapies can potentially lead to patient benefit.

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