Author: Oiendrilla Das

See how life science company Bayer built a quick, innovative, and secure adverse event detection platform using Amazon SageMaker to significantly streamline manual review processes This blog is guest-authored by: Marian Klug, Head of Systems Management and Analytics, Bayer; Anton Boger, PV Platform Specialist, Bayer; and Theresa Schmitt, Data Scientist, Bayer Humans vary in their […]

Last week, we hosted our 6th Annual AWS Life Sciences Leaders Symposium in Boston. Over 450 executives from 240 top life sciences organizations joined us in person for an intense full-day discussion on how life sciences organizations can leverage generative AI, machine learning, and data analytics on AWS to revolutionize drug discovery and clinical development. […]

As early adopters of artificial intelligence (AI), healthcare and life science organizations are among the most enthusiastic and advanced users of generative AI. The transformative technology has undergone a remarkable evolution in the past year, propelling innovations once considered science fiction into reality – with the potential to transform these industries and significantly improve patient outcomes […]

Contributed by Authors: Marc Berson, Senior Vice President, Chief Information Officer of Gilead Sciences, and Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. At re:Invent 2023, Marc Berson, Chief Information Officer of Gilead Sciences, joined an Innovation Talk on ‘Generative AI for Industries’, along with Shaown Nandi, AWS Director of Technology for […]

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 […]

New draft guidance from the Food and Drug Administration (FDA) opens the door for medical devices with AI/ML to learn and improve after the product comes to market. The guidance, required by Congress in late 2022 as part of the fiscal year 2023 omnibus bill, addresses a long-standing challenge with the approval or clearance of […]

Shoaib Mufti, Head of Data and Technology at the Allen Institute for Brain Science, joins Oiendrilla Das, Industry Marketing at Amazon Web Services (AWS), to share how the Allen Institute is using the cloud to build the Brain Knowledge Platform (BKP) for the U.S. National Institutes of Health (NIH) BRAIN Initiative Cell Atlas Network (BICAN). […]

This blog is guest authored by Dr. Stefan Schmitz, lead product owner of Bayer’s cross-divisional data science platform, and Maciej Wroblewski, AWS architect from the Accenture Advanced Technology Center. Leading global life sciences organization Bayer has more than 150 years of history and expertise in health care and agriculture. To accelerate the adoption of advanced […]

Blog is guest authored by Guy Vinograd, Co-founder and Chief Technology Officer at BioT. With a vision to make world-class medical care accessible to patients wherever they are, Israeli startup BioT provides a platform for building cloud-powered medical devices. Its innovative technology helps connect Internet of Things (IoT) medical devices to the cloud. This allows […]

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 […]