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Ideas: The journey to DNA data storage

Research manager Karin Strauss and members of the DNA Data Storage Project reflect on the path to developing a synthetic DNA–based system for archival data storage, including the recent open-source release of its most powerful algorithm for DNA error correction. Get the Trellis BMA code: GitHub - microsoft/TrellisBMA: Trellis BMA: coded trace reconstruction on IDS channels for DNA storage

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  Ideas: Community building, machine learning, and the future of AI

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  Ideas: More AI-resilient biosecurity with the Paraphrase Project

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  Coauthor roundtable: Reflecting on healthcare economics, biomedical resear…

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  Reimagining healthcare delivery and public health with AI

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  Navigating medical education in the era of generative AI

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  AI Testing and Evaluation: Reflections

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  AI Testing and Evaluation: Learnings from cybersecurity

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  How AI will accelerate biomedical research and discovery

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  AI Testing and Evaluation: Learnings from pharmaceuticals and medical devi…

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  AI Testing and Evaluation: Learnings from genome editing

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  AI Testing and Evaluation: Learnings from Science and Industry

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  The AI Revolution in Medicine, Revisited: How AI is reshaping the future o…

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  What AI's impact on individuals means for the health workforce and industry

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  Abstracts: Zero-shot models in single-cell biology with Alex Lu

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  Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

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  Collaborators: Healthcare Innovation to Impact