Learn how Merck, a leading global biopharmaceutical company, deployed an enterprise-wide cloud-based data a...
Other content in this Stream
Listen to startup founders, professors, and data scientists discuss how to innovate and advance biomedical research and patient care using digital medicine tools. From foundational ethical principles
Chief Digital Officer Bertrand Bodson shares why Novartis is excited to partner with AWS to transform our business operations.
Adapt your engagement strategy to overcome remote care challenges to accelerate recruitment, improve trial retention, and diversify participation.
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.
Loic Giraud, the Head of the Analytics Center of Excellence at Novartis, explains how Novartis is partnering with AWS to accelerate digital transformation and create a culture of innovation.
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.
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.