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Putting a Halt to the Insanity Surrounding Data Access for Healthcare AI Development & Deployment

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Given the data access challenges, it is not surprising that many AI algorithms have performance problems. We have all seen the articles that highlight inherent biases in data that reduce the accuracy of healthcare AI models, lack of generalizability, as well as issues with algorithm drift when the models are exposed to new data. At BeeKeeperAI, we are developing innovative tools for healthcare artificial intelligence lifecycle management that will ultimately improve patient outcomes and reduce t…

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PRESS RELEASE: BeeKeeperAI Spins Out of UCSF to Accelerate Healthcare AI Development with Privacy-Preserving Technology Innovation

BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers

SAN FRANCISCOApril 26, 2022 – BeeKeeperAI, the pioneer in zero-trust, confidential computing and privacy preserving analytics for the training, validation, and deployment of artificial intelligence (AI) in healthcare, today announced a critical milestone as it completed licensing of its core technology from the University of California, S…

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Securing Healthcare AI with Confidential Computing

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The following guest post is re-posted with permission from Richard Searle, Customer Solutions Director, Fortanix.

Contextual Focus on Healthcare

The events of 2020 have placed healthcare and medical research at the forefront of public discourse and topical interest. The quest for an effective vaccine to counter the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) virus and its manifestation in the disease COVID-19 has introduced sampling, statistical analysis, and the r…

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