AWS for Industries

Tag: life sciences

Conducting end-to-end pharmacovigilance workflows using AWS technologies

Introduction Bio-pharmaceutical companies have always had a responsibility to report adverse events (AE), whether in clinical development or post market-approval scenarios, to the Food and Drug Administration (FDA).  The COVID-19 pandemic and the race to find effective treatments for this disease has caused both the FDA and bio-pharmaceutical organizations around the world to re-imagine the […]

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Broad Institute gnomAD data now accessible on the Registry of Open Data on AWS

Co-authored by Grace Tiao, Associate Director of Computational Genomics at the Broad Institute and Erin Chu, DVM, Ph.D., Life Sciences Lead, AWS Open Data Program Today we announce that data from the Genome Aggregation Consortium (gnomAD) is available for the first time on Amazon Web Services (AWS) as part of the Registry of Open Data […]

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Building Amazon Neptune based MedDRA terminology mapping for pharmacovigilance and adverse event reporting

Life Science companies are witnessing substantial growth in number of Adverse Events (AE) being reported for their products. This may be due to the increase in data volumes coming from journals, articles, social media, and non-standardized data sources. Evolving regulations and increasing pressure to improve quality and patient safety, while maintaining patient privacy rights, and […]

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How natural language processing can uncover value from unreachable data in the modern medical ecosystem

The Dark Data Problem Up to 80% of your organization’s medical patient data is untapped, undervalued, or unused Imagine walking into a physician’s office for a checkup. As you describe some pain you’ve been having in your left knee, the doctor barely looks up from the screen as she clatters away on the keyboard, taking […]

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AWS re:Invent 2019 – Healthcare and life sciences industry recap

With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]

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Building a scalable image processing pipeline for image-based transcriptomics

The below post was written by guest author Shannon Axelrod, Senior Software Engineer at the Chan Zuckerberg Initiative. At the Chan Zuckerberg Initiative (CZI), the science team’s goal is to support the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. In particular, the organization […]

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Enforcing immutability, traceability and transparency in clinical trials using Amazon Managed Blockchain

Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using popular open source frameworks, such as Hyperledger Fabric and Ethereum. General availability of Hyperledger Fabric was announced in April 2019, with support for Ethereum coming soon. For additional details about Managed Blockchain, see What Is Amazon […]

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AWS and Novartis: Re-inventing pharma manufacturing

Today, AWS announced a new strategic collaboration with Novartis that will transform Novartis’ core supply chain, manufacturing, and delivery operations through the use of AWS services. For several years, many AWS partners and life science customers have been using AWS services to modernize various aspects of manufacturing and supply chain. This strategic collaboration with Novartis […]

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Webinar: Digital Medicine 101

Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier to entry is the cross-disciplinary approach required to create such tools, […]

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