Category: Life Sciences

New draft guidance from the Food and Drug Administration (FDA) opens the door for medical devices with AI/ML to learn and improve after the product comes to market. The guidance, required by Congress in late 2022 as part of the fiscal year 2023 omnibus bill, addresses a long-standing challenge with the approval or clearance of […]

Shoaib Mufti, Head of Data and Technology at the Allen Institute for Brain Science, joins Lisa McFerrin, Worldwide Lead for Research, Discovery, and Translational Medicine at Amazon Web Services (AWS), to share how the Allen Institute is using the cloud to build the Brain Knowledge Platform (BKP) for the U.S. National Institutes of Health (NIH) […]

On May 15, we hosted the AWS Life Sciences Executive Symposium in Boston, where I led the track on ‘unlocking access to and insights from data’. Over 300 life sciences executives from across 100 organizations attended this half-day, in-person event to explore how they can drive innovation through robust data foundations and machine learning (ML) […]

On May 15, we hosted the AWS Life Sciences Executive Symposium in Boston, where I led our track on ‘accelerating pharma drug discovery with Machine Learning (ML)’. Over 300 life sciences executives from across 100 organizations attended this half-day, in-person event to explore how they can drive innovation through robust data foundations and machine learning […]

This blog is guest authored by Dr. Stefan Schmitz, lead product owner of Bayer’s cross-divisional data science platform, and Maciej Wroblewski, AWS architect from the Accenture Advanced Technology Center. Leading global life sciences organization Bayer has more than 150 years of history and expertise in health care and agriculture. To accelerate the adoption of advanced […]

From oncology research to drug discovery to point of care, the unified analysis of various forms of omics data is helping researchers and clinicians generate new insights and offer more personalized care. While the value of multi-omics is apparent, our healthcare and life sciences customers want better tools to get started, build applications, and scale up […]

Blog is guest authored by Don Freed and Brendan Gallagher from Sentieon. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Since 2014, AWS Partner Sentieon has been focused on developing highly-optimized algorithms for bioinformatics […]

Blog is guest authored by Maxim Mass, Rosi Bajari, and Bryan Lajoie from Element Biosciences. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Last year, Element Biosciences launched the AVITI benchtop sequencing instrument to […]

Blog is guest authored by Harry Clifford from NVIDIA. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. As the cost of sequencing a human genome continues to decrease, the volume of sequencing data is […]

As healthcare and life sciences customers work to advance clinical research, and realize personalized healthcare and precision medicine for patients, they face varying compliance, regulatory, and security requirements as well as disparate data that is siloed across multiple applications and organizations. These customers increasingly need to unlock access to quality data and leverage privacy-enhanced multi-party […]