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AI-Powered Analytics Drive Healthcare Compliance and Personalize CX

Uniphore

Few industries are as closely regulated as healthcare. According to the National Center for Biotechnology Information (NCBI), between $100 and $300 billion of avoidable health care costs have been attributed to nonadherence in the U.S. healthcare costs. healthcare costs. Healthcare is no exception.

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Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

AWS Machine Learning

The ability to effectively analyze and interpret genomic data at scale is the key to precision medicine, agricultural optimization, and biotechnological breakthroughs, making genomic language models a possible new foundational technology in these industries. In his spare time, he enjoys horseback riding and playing ice hockey.

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Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker

AWS Machine Learning

In addition to basic research, algorithms like AlphaFold and ESMFold have many applications in medicine and biotechnology. About the Authors Brian Loyal is a Senior AI/ML Solutions Architect in the Global Healthcare and Life Sciences team at Amazon Web Services. Bucket(bucket) bucket.objects.filter(Prefix=prefix).delete()

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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning

About the Author Brian Loyal is a Senior AI/ML Solutions Architect in the Global Healthcare and Life Sciences team at Amazon Web Services. He has more than 17 years’ experience in biotechnology and machine learning, and is passionate about helping customers solve genomic and proteomic challenges.

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