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

understand therapeutic potential

Understand therapeutic potential before pre-clinical experiments

Every drug library holds massive untapped potential. Given target profiles for a compound, Turbine’s AI can simulate its biological effect and those of its combinations with approved drugs or other compounds in a drug library, opening the way for new drug trials.

Test on any cancer type

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

Uncover synergistic effects

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

Simulate optimal dosage

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

Predict resistance & toxicity

Simulating therapy effects on healthy cells and different mutational profiles lets Turbine predict toxicity and biomarkers of resistance.

“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 trial arms

Design trial arms that increase chance of swift approval

Given a drug candidate and planned indications, Turbine can identify the most promising combination candidates to trial. Simulations also uncover potential biomarkers of resistance or sensitivity. These can be used to select patients who will respond particularly well in trials.

Find effective combinations

Turbine can identify approved drugs that would synergise with your lead, increasing clinical benefits or opening up new indications.

Identify biomarkers of disease

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

Simulate optimal dosage

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

Select best fitting patients

After identifying biomarkers, Turbine can act as a companion diagnostic tool for selecting the patients who’d benefit most from entering the trial.

discovering novel drug combinations

Extend & repurpose drug lines by discovering novel drug combinations

Literally thousands of effective drug combinations lie hidden in the current approved drug library. Our artificial intelligence can find drug repurposing and line extension opportunities by analyzing millions of treatments on almost any cancer type. Results help launch extension trials with certainty.

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.

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.

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

Make the best decisions when planning treatment for patients

Turbine’s simulations can support physicians in increasing patient survival rates by combining a Simulated Cell based on thousands of publications with artificial intelligence. We can predict treatments likely to help a patient even in rare diseases with no pre-existing medical evidence.

Patient-specific predictions

Given genomic and transcriptomic data of a patient’s tumor, Turbine can personalize therapies to their exact molecular makeup.

Simulate toxicity & optimal dosage

By simulating therapy effects on cancerous, as well as healthy cells, Turbine can help determine the optimal dosage of each compound in a combination therapy, as well as predict their additive toxicity.

Predict biomarkers of resistance

Introducing thousands of random mutations to a patient’s tumor allows the identification of protein biomarkers that mark changes in a tumor that increase resistance to treatment.

Accurate for rare cancer strains

If as few as 5 patients’ molecular profile is available for a given cancer strain, Turbine can customize its Simulated Cell to accurately mimic how the disease responds to treatment.

Want to know more about the
science behind Turbine?

Learn about our science

Looking to design effective
cancer therapies?

Contact us