Turbine's artificial intelligence increases clinical benefits,
boosts patient survival and speeds up cancer research

Find biomarkers of sensitivity and drug resistance

Find biomarkers of sensitivity and drug resistance

Turbine's AI combinines OMICS profiles, signaling activity, and simulated drug response of different cancer cells to find complex biomarkers of sensitivity or resistance, such as mutational or gene expression patterns.

Identify biomarkers of sensitivity and resistance

Based on OMICS data, Turbine can identify biomarkers that mark mutations with increased sensitivity or resistance to treatment.

Predict toxicity

Simulating therapy effects on healthy cells and different mutational profiles can allow Turbine to predict toxicity.

Compare responder and non-responder patient populations

Turbine can work its way back from the phenotypic behavior of patient cells or cell lines to identify distinctive molecular patterns or biomarkers that differentiate those who respond from those who do not.

Select best fitting patients

After identifying biomarkers, Turbine can help trial teams select patients who’d benefit most from entering the trial.

“The first attempt at an integrative view of the effects of
cancer mutations, long missing in molecular biology.”

Stuart Kauffman, past MacArthur Fellow, founder of Transforming Medicine Institute

design combination therapies

Design effective combination therapies

Given a drug candidate and planned indications, Turbine can identify the most promising combination candidates to trial. Additionally, Turbine can simulate any cell based on existing OMICS data, thus enabling the testing of combination therapies in any indication, cell line, or patient.

Uncover synergistic effects

Combining a lead with approved drugs or other candidates, synergistic effects can be calculated.

Block escape routes of cancer

Design combinations that minimize the chance of developing resistance by blocking the most likely evolutionary escape routes.

Simulate optimal dosage

Based on simulations, Turbine estimates dose-response curves for each compound and combination, similarly to in vitro experiments.

Accurate for rare cancer strains

Turbine can customize its Simulated Cell for most cancer types, even rare strains.

discovering novel drug combinations

Extend and repurpose drug lines with novel combinations

Turbine can customize its Simulated Cell to almost any cancer indication, then let its artificial intelligence simulate and analyze the impact of over 8 million treatment options per day. Thus, Turbine can identify potential candidates for repurposing, and indications with the highest predicted response rate, to launch trials to extend drug lines faster and with more certainty.

Repurpose failed leads

By simulating the effects of your failed candidates combined with available approved drugs, Turbine can identify opportunities to massively increase clinical benefits or find new therapeutic areas.

Find line extension opportunities

Given your drug’s target profile, Turbine can identify other approved compounds that would provide synergistic effects, opening up new indications.

High throughput therapy screening

Unlike existing in vitro methods, Turbine can simulate a compound’s effect in a fraction of a second, providing insight into the complex biological background of any response on the level of cellular signaling.

Test on any cancer type

Turbine can customize its Simulated Cell for most cancer types, even rare strains.

planning treatment for patients

Understand the biology of cancer

Turbine's customizable Simulated Cell models intracellular phenomena in a biologically accurate way. Our AI can manipulate the cell to find the fundamental drivers of its cellular activities. Results can help in the generation of new hypotheses, and give direction to laboratory research.'

Insight into cellular pathway activity

Turbine realistically models intracellular molecular interactions and signaling pathway activities, and displays them on a temporal scale, ready for detailed analysis.

Understand mechanism of action

Turbine can uncover a drug's exact mechanism of action on a molecular level, providing extra understanding compared to in vitro experiments.

Block pathways of cancer evolution

Turbine can model the possible directions evolution can take in a tumor. This understanding can help predict and prevent acquired resistance or relapse.

Discover biological mechanisms

Turbine can discover the biological mechanisms leading from one state of a cell to another, such as pre and post relapse samples, and offers ways to suppress or amplify them.

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science behind Turbine?

Learn about our science

Looking to design effective
cancer therapies?

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