Category: Life Sciences

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 […]

Blog guest-authored by Mustaqhusain Kazi, Global Head of Roche Informatics Strategy and Digital Innovation, and Neeraj Agarwal, Distinguished Enterprise Architect, Foundational Tech, PHC and Science at Roche. In the 1990s, the “blockbuster model” reigned supreme, with pharmaceutical companies designing therapies for larger populations with a one-size-fits-all approach. Today, with increased digitization and an explosion of patient […]

The success of pharmaceutical and biotechnology organizations rests on their ability to bring new therapies to market, which requires submitting clinical trial data to regulatory agencies. However, it involves massive quantities of data and significant manual labor. To automate and optimize the process, life sciences organizations are leveraging curated solutions powered by the cloud—affording them […]

Cisco Vicenty, Case for Quality program manager at the U.S. Food and Drug Administration (FDA), joins Senthil Gurumoorthi, security assurance lead for Healthcare & Life Sciences at AWS, in a conversation about the FDA’s recently released guidance for its Case for Quality initiative. The two discuss what has changed in the guidance, what it means […]

Vignesh Shetty, Senior Vice President and General Manager of Edison AI & Platform at GE Healthcare, joins Taha Kass-Hout, MD, MS Vice President and Chief Medical Officer at Amazon Web Services (AWS), to discuss strategies for building a modern data strategy to fuel innovation and improve patient care. GE Healthcare provides medical technology, pharmaceutical diagnostics, […]

Securely sharing clinical research data with collaborators and efficiently managing data access is a recurring challenge that clinical research teams face. Amazon S3 Access Points enable clinical researchers and healthcare IT teams to efficiently create, share, and maintain scalable access to clinical data in a shared Amazon S3 bucket at the individual user level. Introduction […]