may 6 generative ai in healthcare & life sciences
This webinar features AWS subject matter experts, covering the latest Generative AI Innovations, plus Real-Life Use Cases and Deployment Recommendations, specifically for Healthcare Providers, Hospitals, Medical Research Institutions, Life Sciences, Pharmaceutical Manufacturing, Biotech, Payer/Insurers, EMR Solutions, etc.
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1:05 AWS Healthcare & Life Sciences Team Presentation
John O’Donnell, Principal Solution Architect, AWS
Tonny Ouma, Senior Solution Architect, AWS
Sudhanshu Malhotra, Principal Solution Architect, AWS
Generative AI in Healthcare & Life Sciences: 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, AWS subject matter experts Tonny and Sudhanshu will discuss real world deployments and Generative AI case studies in medical devices, pharmaceutical and biotech drug discovery, clinical studies and trial recruitment, plus healthcare providers.
Tonny will specifically discuss clinical trials and matching, which is a key process in health delivery and discovery that is often hindered by the challenge of patient recruitment, overwhelming unstructured data and unscalable manual processing. Tonny will showcase how you can leverage a large language model (LLM) framework to assist patient-to-trial, using key AWS services such Amazon Bedrock and Amazon HealthLake, to predict the patient eligibility for a clinical trial.