Microsoft partners with Sophia Genetics to accelerate multimodal health data analysis 

November 2, 2022 – Sophia Genetics, a cloud-native software company in the healthcare space, is embarking on a multi-year integrated strategic partnership with Microsoft to improve healthcare workflows globally. This investment in the development of next- generation healthcare will lead the way in enabling multimodal data curation, development, and deployment. As a result, the Microsoft Azure-powered Sophia DDM™ Platform is expected to elevate the standard of care for patients, by delivering advanced outcomes for precision medicine. 

The agreement is to expand and reinforce data-driven medicine through the Sophia DDM™️ health data analysis platform available with Microsoft Azure 

Sophia Genetics’ global network breaks down data silos, allowing the democratization of data-driven medicine by connecting institutions that leverage diverse multimodal data sets on the SOPHiA DDM™ Platform. Multimodal health data sets can be the largest and most complex to structure, analyze and archive, and this wide-ranging partnership will focus on accelerating results, improving performance, and ultimately enhance medical research by propelling the transition to precision medicine globally. 

This strategic partnership expands on Sophia GENETICS’ and Microsoft’s collaboration. Sophia GENETICS offers its AI and machine learning Sophia DDM™ Platform on Azure, by leveraging various Azure services that enable greater efficiencies and open opportunities for advancing tools to unlock important medical and genomic data. With the addition of the Sophia DDM™ Platform, providers utilizing Azure will scale their ability to aggregate multimodal data types to extract insights within existing workflows for their pursuit to deliver the best care possible. As one of Microsoft’s chosen partners for precision medicine, Sophia GENETICS will help accelerate the transition to a decentralized care model for hospitals, healthcare providers and biopharma, by breaking down data silos and delivering innovation at scale. 

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