Tag: hcls

Introduction Advancements in next-generation sequencing (NGS) technology have created new opportunities for omics data analysis, unlocking valuable insights for precision medicine, clinical diagnostics, and drug discovery. To keep pace with this high-throughput technology and handle the fluctuations in data volume, healthcare and life sciences (HCLS) customers seek a secure, reliable, and scalable environment for data […]

We are excited to announce the general availability of AWS HealthImaging, a purpose-built service that helps builders develop cloud-native applications that store, analyze, and share medical imaging data at petabyte-scale. HealthImaging ingests data in the DICOM P10 format. It provides APIs for low-latency retrieval, and purpose-built storage. Our healthcare customers tell us they want their […]

Data is at the heart of any modern pharmaceutical company throughout every stage of the value chain. Understandably, data is also central to industry regulations and continues to be one of the main topics during FDA inspections. However, questions still arise around how to meet data integrity requirements when operating in the cloud. Regulatory requirements […]

re:Invent is an opportunity to dive into innovative technologies and explore new ideas, and for healthcare and life sciences (HCLS) organizations, it is the time to think about how to reinvent collaborations, improve data driven decision making, and drive new discoveries, all with the goal of improving patient outcomes. At re:Invent 2022, we continued our […]

Amazon Omics is a new fully managed service which helps AWS customers store, query, analyze, and generate insights from genomic, transcriptomic, and other omics data to improve health and accelerate scientific discoveries. Many AWS customers want to go faster in their migration to the cloud, and the good news is that Amazon Omics has broad support […]

We would like to acknowledge the valuable contributions of David Obenshain, Gargi Singh Chhatwal, and Joshua Broyde, who are Solutions Architects at AWS. With the rapid advancement and use of Genomic sequencing within research and clinical organizations, we need reliable, reproducible, scalable, and cost-efficient infrastructure to manage data and compute resources. Organizations want to spend […]

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. […]

Last year, we announced Amazon HealthLake, a new HIPAA-eligible service for healthcare providers, health insurance companies, and pharmaceutical companies to securely store, transform, query, analyze, and share health data in the cloud, at petabyte scale. We launched HealthLake to address one of the key challenges that the health industry – from healthcare payers to life […]

This blog was co-authored by Fabrice Schlegel, Senior Manager of Data Sciences at Amgen; Joao Alberto de Faria, Senior Associate Software Engineer at Amgen; Ammar Latif, Senior SA at AWS; and Pierre-Yves Aquilanti, Principal HPC Specialist SA at AWS. Amgen relies on computational modeling to gain insight into their biopharma processes. Modeling improves product designs through […]

Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]