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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning

Healthcare data is complex and siloed, and exists in various formats. We store the final output in Fast Healthcare Interoperability Resources (FHIR) compatible format in Amazon HealthLake , making it available for downstream analytics. The proposed solution doesn’t require the deployment and maintenance of server infrastructure.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. The other data challenge for healthcare customers are HIPAA compliance requirements. Dr. Adewale Akinfaderin is a senior data scientist in Healthcare and Life Sciences at AWS.

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Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AWS Machine Learning

AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures. Studio construct file. The Studio construct is defined in the sagemaker_studio_construct.py This AWS CDK construct serves the following functions: Creates the Studio domain ( SageMakerStudioDomain ).

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Advancing the Economic Argument for Tobacco Use Reduction in Business

CSM Magazine

For instance, smoking rates are greater in blue-collar jobs (like construction and transportation) than in white-collar jobs (like management and sales). The yearly extra cost of an employee who smokes is estimated to be $5816, which comprises $2056 in higher healthcare expenditures and $3760 in lost productivity costs.

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The Importance of Gender-Inclusive Language in Interpreting

Certified Languages International

But why does this matter, and what happens if we are not well equipped to use inclusive language as healthcare interpreters? Providing gender-inclusive healthcare. An impactful article out of Canada caught my attention as I explored the healthcare implications of a gendered society. ” Hold others accountable.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The underlying principle of these approaches involves the construction of prompts that encapsulate the recommendation task, user profiles, item attributes, and user-item interactions.