While healthcare and life science organizations have been using AI and ML for years, generative AI brings new possibilities to accelerate innovations, increase efficiencies, and improve outcomes across the health continuum. From generating new therapeutic candidates, to better matching patients with the right clinical trials, to powering patient engagement applications, AWS makes it easier to access the services, data, models, and secure infrastructure needed to scale generative AI across your organization.

After John O’Donnell provides an overview of AWS focus on Healthcare and Life Sciences, a team of AWS subject matter experts will discuss real world deployments and case studies in the pharmaceutical, medical device and healthcare provider industries:

Generative AI innovation in Medical Devices: GenAI overview, Expert Q, and relevant use cases in Healthcare and Life Sciences Mustafa Rahimi

Vertex Pharmaceuticals: Accelerating image segmentation for drug discovery imaging using serverless technologies on AWS Sudhanshu Malhotra

Nextgen Healthcare: Leveraging Amazon Bedrock to reduce Provider burn out, using GenAI to assist with ICD10 coding for physicians to reduce post visit documentation time by 80% Bryan Gour

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