AWS for Industries

Tag: #lifesciences

Roche advances personalized healthcare using multi-modal data on AWS

Roche advances personalized healthcare using multi-modal data on AWS

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 […]

Executive Conversations: Streamlining Clinical Trial Submissions in the Cloud with Debbie Profit of Otsuka Pharmaceutical

Executive Conversations: Streamlining Clinical Trial Submissions in the Cloud

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 […]

Executive Conversation: FDA's Case for Quality initiative enables technological innovations for life sciences organizations

Executive Conversations: FDA’s Case for Quality initiative enables technological innovations for life sciences organizations

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 […]

Executive Conversations: Realizing the Potential of Cloud Technology in Healthcare

Executive Conversations: Realizing the Potential of Cloud Technology in Healthcare

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, […]

Executive Conversations: Future-proofing population genomics initiatives through federation

Executive Conversations: Future-proofing population genomics initiatives through federation with Thorben Seeger of Lifebit

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 […]

Executive Conversations: Unlocking the potential of integrated diagnostics with Jonathan Usuka of REALM

Executive Conversations: Unlocking the potential of integrated diagnostics with Jonathan Usuka of REALM

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 […]

Simplifying Multi-modal and Multi-omics Analysis with AWS for Health *New AWS for Health Guidance: Multi-modal and Multi-omics*

Simplifying Multi-modal & Multi-omics Analysis with AWS for Health

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. […]

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Introduction Training medical computer vision (CV) models requires a scalable compute and storage infrastructure. Training a medical CV model is unique compared to training a CV model in other domains, as we described in the first part of this blog series. In this second post, we show you how we scale a medical semantic segmentation training […]

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 1

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 1

Introduction Computer vision (CV) and machine learning (ML) has been playing an increasingly import role in the field of medical imaging and radiology in the past decade. CV is the field that uses computers and programs to replicate human vision abilities such as recognition, classification, detection and measurement. Thanks to the advancement of deep learning […]

AstraZeneca’s Drug Design Program Built using AWS wins Innovation Award

AstraZeneca’s Drug Design Program Built using AWS wins Innovation Award

At the 20th anniversary of the Bio-IT World Conference, held in Boston, in May 2022, AstraZeneca received the BioIT World Innovative Practice Award for its novel Augmented Drug Design Platform, built on AWS. Biopharma R&D productivity and success rates have been an industry-wide challenge, with the drug discovery process often compared to finding a needle in […]