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Mayo Clinic partners with Cerebras Systems for healthcare AI

Written by Thu 11 Jan 2024

Non-profit medical centre, Mayo Clinic, and artificial intelligence (AI) company, Cerebras Systems, will collaborate to develop AI models for the healthcare industry.

Reuters reported Mayo Clinic will use systems and computing chips from Cerebras to access decades of anonymous data and medical records to develop its own AI models. 

The deal’s exact value and duration were undisclosed, but it was described as a multi-million dollar agreement spanning several years. Under the deal, Cerebras will provide both hardware and software development services to Mayo Clinic.

“Mayo Clinic selected Cerebras as its first generative AI collaborator for its large-scale, domain-specific AI expertise to accelerate breakthrough insights for the benefit of patients,” said Matthew Callstrom, Medical Director for Strategy and Chair of Radiology at Mayo Clinic.

Callstrom said specific AI models will summarise new patients’ medical records and handle text-based tasks such as reading and writing. Other models will be able to detect unnoticed patterns in medical data and analyse genome information. Medical decisions will still be made by doctors rather than the AI systems themselves.

Callstrom said Mayo Clinic has not finalised how much it will charge for the AI technology.

“The state-of-the-art AI models we are developing together will work alongside doctors to help with patient diagnosis, treatment planning, and outcome estimation,” said Andrew Feldman, CEO and Co-founder of Cerebras.

Mayo Clinic intends to share the results of its AI collaboration with Cerebras through the Mayo Clinic Platform. This platform is a data network used by Mayo Clinic and Mercy healthcare systems in the US, the University Health Network in Canada, and healthcare systems in Brazil and Israel.

The news arrived a week after Mayo Clinic partnered with TechBio company, SimBioSys, for the development of AI-driven digital precision medicine solutions for breast cancer patients.

The collaboration aims to use AI to develop cloud-based clinical software tools that will support the end-to-end decision-making process for early-stage breast cancer patients. This will include individualised surgical planning, treatment, drug selection, and risk stratification.

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Written by Thu 11 Jan 2024

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