Funding

Turbine funding news – Hungary-based Turbine Secures Investment from Accenture

May 17, 2024 | By Team SR

Turbine , a predictive simulation company that is building a platform for interpreting human biology, secures investment from Accenture.

Turbine , a predictive simulation company that is building a platform for interpreting human biology, secures investment from Accenture.

SUMMARY

  • Turbine , a predictive simulation company that is building a platform for interpreting human biology, secures investment from Accenture.
  • Turbine is the latest company to join Accenture Ventures’ Project Spotlight, an engagement and investment program focused on working with companies that create or apply disruptive enterprise technologies.

Accenture’s investment will help Turbine further extend its capabilities to global biopharma companies that can benefit from Turbine’s ability to uncover hidden biological insights, with the potential to guide and accelerate key drug development workstreams.

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Turbine’s core technology, the Simulated Cell™ platform, utilizes machine learning to understand how human cells make decisions. The platform intricately models molecular interactions within and around cells, enabling virtual experiments in volumes that are nearly impossible to achieve in the physical world and revealing mechanisms that drive diseases and response to therapies.

Tom Lounibos, global lead of Accenture Ventures said, “Advanced technology and digital capabilities are clearly becoming substantial differentiators in the biopharma industry, and the future of drug discovery will be powered by AI, Turbine’s AI-based platform has clearly demonstrated the ability to unlock high-quality biological insights for our clients across the biopharma industry.”

Turbine’s platform is being validated with leading pharma companies to uncover promising drug targets, select patient populations most likely to benefit from therapy, and identify combination therapy regimens that can increase therapeutic benefit in certain patients. This allows Turbine to reveal treatments otherwise hidden from view, as well as potential drugs that work in the lab but would likely fail in clinical trials.

Szabolcs Nagy, co-founder and CEO of Turbine said, “Since most unsolved complex diseases are heterogenous, progress in utilizing AI for drug discovery is hindered by ethical and technological limitations in sourcing deep and diverse ground truth data. To bridge this gap, we need a toolkit that can learn fundamental rules of biology on in vitro experiments and apply to patients that it has never seen before. Turbine's Simulated Cells can be engineered at scale to represent the heterogeneity of complex human disease better than currently available wet lab experimental models, which are inherently biased towards representing certain disease types and hardly scalable, By tapping into Accenture’s expertise, we hope to expand our market reach and augment our simulation platform in order to benefit the whole biopharma industry by ensuring that the next experiment is always the correct one.”

Turbine is the latest company to join Accenture Ventures’ Project Spotlight, an engagement and investment program focused on working with companies that create or apply disruptive enterprise technologies.

Project Spotlight offers extensive access to Accenture’s domain expertise and its enterprise clients, helping startups harness creativity and deliver on the promise of their technology. Additional digital simulation companies in Project Spotlight include QuantHealth, Virtonomy and Ocean Genomics.

About Turbine

Countless resources and time get expended globally to research and advance novel therapies that end in clinical failure and no patient benefit. Imagine a world where it is possible to predict any potential drug’s effect on translatable biological models – including those that may not even be available for lab-based testing – while accurately representing patient biology. Turbine is revolutionizing the status quo by working to ensure that we always run the right wet lab experiments.

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