Category: Life Sciences

This is the first installation of a two-part series detailing the launch of Amazon Omics. The second installation provides deeper technical details. We are excited to launch the general availability of Amazon Omics–a purpose-built service that will help bioinformaticians, researchers, and scientists store, query, analyze, and generate insights from genomic, transcriptomic, and other omics data. […]

Blog is guest authored by Nitin Kaul and Guglielmo Iozzia of Merck & Co., Inc. Improving the productivity of manufacturing operations is vital for pharmaceutical companies, so patients can get the critical medicines they need, faster. While patient safety has always been the highest priority, Merck & Co., Inc. (MSD), the leading global biopharmaceutical company, […]

Celebrating its 11th year, AWS re:Invent 2022 is gearing up to deliver a week of inspiring content, educational workshops and boot camps—all with plenty of peer-to-peer networking opportunities. This year’s conference will take place in Las Vegas, NV from November 28th through December 1st, and will have an engaging virtual component for those who cannot […]

Many Life Sciences organizations struggle with lab digitalization that can scale, automate data tasks, enable AI/ML, and create collaborative environments that support diverse R&D efforts. The AWS Digital Lab Strategy is a set of services, architectures, and partners to help take advantage of cloud scale and agility. Efforts to build digital lab capabilities seem to […]

At this year’s Amazon Web Services (AWS) Industry Innovators Summit, Louis Culot, Innovation Strategy Leader, Precision Diagnosis at Philips, explained how the company is using cloud technology to integrate disciplines and data, to make precision medicine in oncology more accessible. In this interview, Lisa McFerrin, Worldwide Head of Genomics Solutions at AWS, continues the conversation […]

Early detection of diseases and understanding disease progression patterns are critical for ensuring an accurate, timely diagnosis and accelerating access to the best treatments. A comprehensive view of the patient journey can improve health outcomes, whether underlining conditions are rare or common. However, gaining these insights is challenging due to data aggregation, analysis, and communication […]

Blog guest contributing authored by Ryan Stastny, Product Manager at MuleSoft Clinical trials are highly complex, lengthy, and expensive. They require effective collaboration among many key stakeholders including subjects, sites, sponsors, contract research organizations (CROs), and government agencies. However, the data needed to drive successful outcomes is often siloed and inaccessible where and when it […]

Blog Guest authored by HonChong Chang, Director of Cloud & Devops at Bristol Myers Squibb With operations spread across five continents, global biopharmaceutical company Bristol Myers Squibb’s (BMS) cloud team had too much on their plate serving its multi-account, multi-region project teams, without enough resources or hours in the day. Manual workflows for incoming requests […]

Having timely and complete access to genomic sequencing data and analytics helps public health agencies respond better to a disease. It allows them to know when a new variant increases in prevalence. When paired with clinical and epidemiologic data, it can answer key questions like: Which variants cause less severe illness? and Who is more […]

Blog guest authored by Andreas Wilm, Director of Computational Biology and Lorenz Gerber, Associate Director of Software Engineering, at ImmunoScape. Discovering next-gen TCR cell therapies can involve processing and analyzing hundreds of multi-omics patient samples regularly. Leveraging the cloud, biotech startup ImmunoScape has been able to analyze more than 20 trillion data points (generating genomics […]