Saama's Head of Engineering & Architecture, Krunal Patel, walks us through their new Life Science Analytics...
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Propeller Health uses sensor data and machine learning on AWS to help respiratory patients over time become experts at managing their symptoms and identifying triggers.
Q2 Solutions migrated their genomics workloads to AWS to improve scalability, reduce costs, and enhance their capabilities to offer new services as a CRO.
Novartis is collaborating with AWS to accelerate digital transformation and create a culture of innovation.
Bristol-Myers Squibb build enterprise data lakes on AWS using serverless technology to improve its scalability and reduce costs.
In this webinar, you’ll learn how Life Sciences organizations are taking advantage of the auditability, transparency, and consistency of the cloud to implement quality controls for regulated systems.
Learn how startup Insitro uses ML models to inform drug development.
Learn how startup Atomwise built prospective validation of machine learning for small molecule drug discovery.
Learn how startup Blackthorne therapeutics utilizes ML to accelerate scientific innovation.
Learn how AWS Cloud services can help healthcare and life science organizations improve customer and patient engagement with personalize interactions and multi-channel communications.
Learn how Takeda researchers built and trained their own disease-specific ML models to simulate and quantify the overall disease burden and identify potential risks.
Learn the best practices for gathering and managing therapeutic device data and how industry-leading companies are using Amazon AI/ML to facilitate personalized engagement with patients and customers.
Learn how Merck, a leading global biopharmaceutical company, deployed an enterprise-wide cloud-based data and analytics platform to advance product development and commercialization.
Moderna is a "born in the cloud" biotech firm and has leveraged AWS to compress the time needed to advance drug candidates to clinical studies.
Get deep insights into some of the AWS services used to accomplish continuous compliance such as Amazon CloudTrail, Amazon CloudWatch, AWS Config, Amazon VPC, Amazon S3, and Amazon EC2.
Hear from the pharmaceutical manufacturer Novo Nordisk, and software provider Bigfinite on how they have utilized machine learning (ML) in the AWS Cloud to improve their operational effectiveness.
Learn how to use AWS IoT, AI/ML, and data analytics services to build a connected, intelligent biopharmaceutical manufacturing and supply chain environment.
Saama's Head of Engineering & Architecture, Krunal Patel, walks us through their new Life Science Analytics Cloud platform used to accelerate and optimize clinical trials for pharmaceutical companies.
Learn how Q2 Solutions, a clinical trial laboratory services organization, is using AWS machine learning tools to streamline clinical trial operations.
Learn how Bristol-Myers Squibb used AWS services to create a platform-based approach for ingesting, preparing, curating, and persisting business-critical data for digital integration and analytics.
Research labs can be challenged by the large volume of data acquired by legacy research equipment. Learn how AWS provides a way for researchers to transfer and use instrument data in the cloud.