AWS for Industries

Tag: #lifesciences

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 […]

Bio-IT World 2022—From Migration to Innovation: The Journey to What’s Possible

Bio-IT World 2022—From Migration to Innovation: The Journey to What’s Possible

At AWS, we often talk about the Art of What’s Possible. What would it look like to use machine learning and quantum compute to run advance protein folding algorithms? What would be possible if researchers could use high-performance compute to analyze and make Cryo-EM data accessible to the wider community? And the question that motivates us—what […]

Finding enduring solutions to the evolving COVID-19 crisis

Finding enduring solutions to the evolving COVID-19 crisis

Blog guest authored by Bo Barnhart, Vice President of Translational Research at AbCellera In February 2020, AbCellera mobilized its pandemic response platform to find treatments for COVID-19. Supported by Amazon Web Services (AWS), AbCellera discovered two antibody treatments, bamlanivimab and bebtelovimab, for COVID-19 in a year, breaking records to keep pace with an evolving pandemic. […]

Keynote Insights from Industry Innovators: Healthcare & Life Sciences 2022

Keynote Insights from Industry Innovators: Healthcare & Life Sciences 2022

Patients, caregivers, and providers all want better treatments, more equitable access to care, and ultimately healthier communities. Achieving these goals requires changing how we approach health and making it more personal by integrating genomics into therapeutic development, leveraging artificial intelligence (AI) and machine learning (ML) to guide and improve clinical workflows, and even incorporating social […]