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Healthcare & Life Sciences

AWS for Healthcare & Life Sciences

Commercial and medical affairs solutions

Personalize engagements and accelerate the collection and management of real-world evidence with AWS for Life Sciences.

What’s new

Read the E-book  AWS for Life Sciences: Bring differentiated therapeutics to market faster to learn how AWS and AWS Partner solutions enable customers to increase the pace of innovation and develop a more streamlined approach to therapeutic development.
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Increase commercial success

AWS helps biopharma companies accelerate real-world evidence collection and management, and integrate digital therapeutics.

Commercial and medical affairs use cases

Adverse event detection

Solutions for adverse event detection that effectively scale and can handle the growing number and sources of adverse event data.

Featured customers

Working with PwC, an AWS Partner, pharmaceutical company Lilly uses Amazon Comprehend Medical to process adverse events reports with machine learning in seconds.

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As part of its pharmacovigilance program, Amgen used ML and natural language processing models to identify safety events to improve patient care.

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Novartis built AE Brain on AWS to monitor social media for mentions of potential adverse effects, assess them using sentiment analysis, and flag messages of interest to human researchers for review. 

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Digital therapeutics

Solutions for building and managing digital therapeutics that pair with digital therapies and traditional medicines to help increase patient engagement, medication adherence, and improve health outcomes. 

AWS solutions

Guidance: Digital Therapeutics on AWS

The Digital Therapeutics (DTx) program at AWS enables life science organizations to develop, build, deploy, and optimize DTx programs using cloud-based technologies. Solutions can be used independently or in concert with medications, devices, or other therapies to optimize patient care and health outcomes.

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Real-world evidence

Solutions for real-world evidence (RWE) support decisions, develop guidelines for use, or inform new development programs.

Featured customers

Together with Deloitte’s ConvergeHEALTH, Takeda utilized AWS machine learning and computing systems to collect and analyze real-world evidence and gain insights into complex disease states.

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Merck deploys a Real World Data Exchange (RWDEx), built on AWS, to decrease the time to insights and foster collaboration to positively impact all aspects of the product lifecycle. 

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Building the Aetion Evidence Platform on AWS allows the company to quickly scale up infrastructure, reducing execution time and costs associated with RWE analysis.

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