Cat Wong

  • Case Study: Inspire

    Case Study: Inspire

    The online health community used Amazon SageMaker to connect patients with relevant content on its platform of 1.5 billion words written by Inspire members representing 3,600+ medical conditions.

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  • Video: Accelerate Genomic Discoveries on AWS

    Video: Accelerate Genomic Discoveries on AWS

    With AWS, genomics customers can dedicate more time and resources to science, speeding time to insights, achieving breakthrough research faster, and bringing lifesaving products to market.

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  • Webinar: AWS Biotech Blueprint Core Quick Start Deployment

    Webinar: AWS Biotech Blueprint Core Quick Start Deployment

    Watch a step-by-step guide for the Biotech Blueprint Quick Starts, which help you build a preclinical, cloud-based infrastructure on the AWS Cloud, based on industry best practices.

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  • Webinar: AWS HIPAA and HITRUST Quick Start Deployment Guide

    Webinar: AWS HIPAA and HITRUST Quick Start Deployment Guide

    This Quick Start deploys a model environment that can help organizations with workloads that fall within the scope of the U.S. Health Insurance Portability and Accountability Act (HIPAA).

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  • Healthcare & Life Sciences Startups on AWS

    Healthcare & Life Sciences Startups on AWS

    Learn how healthcare and life sciences startups leverage AWS to transform the world of health and accelerate research.

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  • Webinar: Making Sense of your R&D Data - Tertiary Analysis Tools on AWS

    Webinar: Making Sense of your R&D Data - Tertiary Analysis Tools on AWS

    Learn about the tools that are available to make sense of large pools of data for Life Science organizations.

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  • Webinar: Bioinformatics Pipelines and Orchestration Tools on AWS

    Webinar: Bioinformatics Pipelines and Orchestration Tools on AWS

    This session focuses on the two core challenges in developing and maintaining complex bioinformatics workloads: Containerization and Orchestration.

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  • Webinar: Best Practices for Life Science Environments

    Webinar: Best Practices for Life Science Environments

    Learn about the native AWS tools that help users build out secure and flexible environments, with practices that are important specifically to life sciences companies.

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  • Automating the Installation Qualification (IQ) Step to Expedite GxP Compliance

    Automating the Installation Qualification (IQ) Step to Expedite GxP Compliance

    Read about the Installation Qualification (IQ), a proposed approach that can automate one of the first components of a validation plan.

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  • Infographic: Meeting Healthcare and Life Sciences Workload Demands with AWS

    Infographic: Meeting Healthcare and Life Sciences Workload Demands with AWS

    Providing specific solutions to meet the low-latency, local data processing, and data residency needs of healthcare and life sciences organizations using AWS Outposts.

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  • Article: Healthcare & Life Sciences At The Edge: A Guide To AWS’ Solutions

    Article: Healthcare & Life Sciences At The Edge: A Guide To AWS’ Solutions

    In this guide, learn about AWS' edge infrastructure and solutions for HCLS sector, AWS Outposts, and an example use case.

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  • Video: Collaborating with AWS to accelerate our digital transformation

    Video: Collaborating with AWS to accelerate our digital transformation

    Chief Digital Officer Bertrand Bodson shares why Novartis is excited to partner with AWS to transform our business operations.

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  • Case Study: ConvergeHEALTH by Deloitte

    Case Study: ConvergeHEALTH by Deloitte

    Explore how Deloitte's MyPath uses AWS to enable decentralized clinical trials at scale.

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  • Case Study: Deep 6 AI

    Case Study: Deep 6 AI

    Learn how Deep 6 AI uses AWS to accelerate and digitize clinical trial design and recruitment workflows.

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  • Webinar: Post Pandemic Patient Engagement In Clinical Trials

    Webinar: Post Pandemic Patient Engagement In Clinical Trials

    Adapt your engagement strategy to overcome remote care challenges to accelerate recruitment, improve trial retention, and diversify participation.

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  • Case Study: AiCure

    Case Study: AiCure

    Learn how AiCure’s AWS-powered platform supports clinical trials by learning patient behavior.

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  • Case Study: TrialSpark

    Case Study: TrialSpark

    Learn how TrialSpark increases their speed of clinical development using AWS.

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  • Case Study: Thermo Fisher

    Case Study: Thermo Fisher

    Learn how Thermo Fisher Scientific brings Amazon Alexa into the lab to optimize scientist productivity through hands-free experiences.

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  • Video: Abcellera Leverages AWS to Accelerate Drug Development

    Video: Abcellera Leverages AWS to Accelerate Drug Development

    AbCellera used its AI-powered technology platform to bring the world’s first COVID-19 antibody drug candidate into human clinical trials just months after its first screen of a patient blood sample.

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  • Case Study: BenevolentAI

    Case Study: BenevolentAI

    Running on AWS, BenevolentAI uses its knowledge graph to facilitate new drug discovery.

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