Tag: life sciences

AWS HealthOmics is a managed service designed to help healthcare and life sciences organizations manage genomic and transcriptomic datasets cost-effectively. By automating metadata management, compression, and storage class tiering, HealthOmics frees up researchers to focus on analyzing omics data instead of spending time managing it. Storage efficiency, cost optimization and ease of access to omics […]

As a prelude to re:Invent 2023, AWS hosted the Healthcare and Life Sciences (HCLS) Executive Symposium in Las Vegas on Monday, November 27. The half-day, in-person event, attended by over 300 leaders from 180 organizations, centered around harnessing the power of data, analytics, machine learning (ML), and generative AI to accelerate innovation. This year’s symposium […]

Occasionally, new technologies emerge that fundamentally alter how businesses operate. But without the appropriate tools—controls, safeguards, and user experiences—the promise of new technologies can get stuck.  In the past year, many have been captivated by the potential of Generative AI to revolutionize drug discovery, precision medicine, and healthcare delivery. But what tools will turn the […]

Contributed by Authors: Lidia Fonseca, Chief Digital and Technology Officer of Pfizer, and Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. Pfizer applies its scientific expertise and global resources to bring vaccines and therapies to people that extend and significantly improve their lives. Last year, Pfizer treated 1.3 billion patients – that’s […]

Genentech is a biotechnology company that pioneered the biotech industry and revolutionized how some of the world’s most complex health problems are treated. Today, as a member of the Roche Group, the company remains dedicated to pursuing breakthrough research, developing life-changing medicines, unlocking advances in data and technology, and partnering across society to take on […]

Throughout 2023, we’ve witnessed an acceleration of innovation at the intersection of health and technology. And with this year’s AWS re:Invent right around the corner, industry and AWS leaders are preparing to share their cutting edge technologies, use cases, and breakthroughs fueled by integrated data strategies, machine learning, and generative AI. Running November 27 through […]

MachineMetrics on AWS supports automated production monitoring and analytics, while maintaining strong security and compliance. Users achieve strong security and compliance at scale, by using underlying MachineMetrics and AWS frameworks. There’s a myth in the life sciences industry that cloud-based solutions threaten compliance due to a lack of security and stability. This level of caution can […]

As healthcare and life sciences customers work to advance clinical research, and realize personalized healthcare and precision medicine for patients, they face varying compliance, regulatory, and security requirements as well as disparate data that is siloed across multiple applications and organizations. These customers increasingly need to unlock access to quality data and leverage privacy-enhanced multi-party […]

To our many customers and partners who work in Life Sciences, welcome to 2023, a year that I expect to be the turning point in how data science and machine learning (ML) accelerate development of new life-saving therapies. (I’ll share 2023 thoughts on Healthcare in an upcoming post.) The first reason I’m so optimistic is […]

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 […]