Category: Life Sciences

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 […]

Population genomics initiatives amass a multitude of clinical, omics, and phenotypic data from diverse participants. This data is critical to a range of healthcare use cases, including biomarker discovery, drug repurposing, patient stratification, and precision medicine. However, strict data security and regulatory frameworks often make large-scale data migration unfeasible, creating a fragmented data landscape that […]

What does the future of cancer treatment look like for patients, doctors, and researchers, and what is cloud computing’s role in its success? Rowland Illing, Director and CMO, Government Health at Amazon Web Services (AWS), sat down with Prabhu Arumugam, Genomics England’s Director of Clinical Data and Imaging, and Emma McCargow, Program Lead for Cancer […]

Digital transformation in medicine is paving the way for innovation across healthcare disciplines, and integrated diagnostics is one area seeing significant breakthroughs. Dan Sheeran, General Manager of Healthcare and Life Sciences at Amazon Web Services (AWS), sat down with Dr. Jonathan Usuka, Chief Strategy and Informatics Officer at REALM, to understand the drivers behind healthcare’s […]

New AWS for Health Guidance: Multi-modal and Multi-omics The new era of personalized health relies on data to guide more customized patient treatments, therapeutics, and diagnoses. Genomics sits at the core of personalized health, and by taking into account the individual variability among people and diseases, clinicians can create more personalized care journeys and targeted treatments. […]

In today’s fast changing digital landscape in the cloud, besides advancing innovative solutions, many customers’ priority is on reducing risks related to regulations and compliance standards. Risk has traditionally been one of the reasons for slower change release cycles in validated systems. Organizations in the Healthcare and Life Sciences industry are looking at ways to […]