Tag: pharma

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 […]

In recent years, cloud technology has been embraced as an enabler of value creation, helping improve enterprise resilience, innovation speed and scalability without the need for large capital expenditures and even reducing ongoing operational costs. Fortune 500 pharma and MedTech companies could gain by 2030, $10-15 billion in improved EBITDA run rates and $25-30 billion […]

Bill Dougherty and Lucia Savage, Chief Information Security Officer and Chief Privacy and Regulatory Officer of Omada Health, join Lita Sands, Head of Global Life Sciences Solutions at Amazon Web Services (AWS) to discuss how digital health has changed in recent years and where it is headed in the future. Omada Health, a San Francisco-based […]

Proteins are large biomolecules that play an important role in the body. Knowing the physical structure of proteins is key to understanding their function. However, it can be difficult and expensive to determine the structure of many proteins experimentally. One alternative is to predict these structures using machine learning algorithms. Several high-profile research teams have […]

Life sciences companies are rethinking patient engagement and legacy workflow processes in clinical trials due to low enrollment numbers and concerns around data quality. Voice and Chatbot solutions like Alexa and Amazon Lex, a fully managed conversational artificial intelligence (AI) service, can improve patient experience and increase patient engagement. An estimated 48% of clinical trials […]

In this post, we present how scientific researchers can implement AI-driven solutions that improve day-to-day lab productivity and accelerate scientific discovery. We discuss some of the scientific and data challenges to this space as a whole and how AWS solutions can be the foundation for greater automation and central data governance across life science enterprises. […]

Clinical trial monitoring is an integral part of running a successful and compliant clinical trial. Currently the site monitoring process is manual, costly, and subject to data quality issues. This post discusses how various aspects of site monitoring can be automated to optimize cost and increase quality. About 25% to 30% of the total cost […]

For some, 2021 was definitely a year to forget and for others it was filled with moments to remember. COVID-19 impacted every aspect of life, but for health organizations, like hospitals, life sciences companies, and genomics research organizations, 2021 was a year of monumental change, and that change centered around the patient. With a shared […]

Healthcare and life sciences organizations are reinventing how they collaborate, make data driven clinical and operational decisions, enable precision medicine, and decrease the cost of care. AWS for Health, a curated offering of AWS services and AWS Partner Network solutions designed for healthcare and life sciences customers, provides proven and easily accessible capabilities that help […]

This post was co-written with Roberto Iturralde, Sr. Director of Engineering, and Rajarshi Guha, Director of Data and Computational Sciences at Vertex Pharmaceuticals. Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases. In this blog post, we’ll show how Vertex Pharmaceuticals designed a highly […]