Category: Life Sciences

In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. […]

Build accurate predictive models for early disease detection, as demonstrated through a heart disease prediction use case that transformed complex medical data into actionable insights without requiring coding expertise.

At Bayer, the quest to accelerate drug discovery and deliver critical therapies to patients faster has taken an innovative leap forward with the power of generative artificial intelligence (AI). Recognizing the potential to dramatically reduce costs and time in predicting chemical reaction conditions, Bayer engaged Amazon Web Services (AWS) to explore the use of generative […]

Technological breakthroughs don’t just happen—they’re carefully orchestrated through purpose-built tools, strategic innovations, and a deep understanding of industry-specific challenges. At AWS re:Invent 2024, healthcare and life sciences customers explored how the latest innovations in generative AI and machine learning (ML) can transform how we approach medical research, patient care, and scientific discovery. In the weeks […]

2024 has been a landmark year for innovation at the crossroads of health and technology. As AWS re:Invent 2024 approaches, industry pioneers and AWS experts are poised to showcase technologies, use cases, and breakthroughs fueled by generative AI, machine learning, and sophisticated data strategies. Set for December 2-6, 2024, in Las Vegas, this year’s conference […]

The collaboration will develop AI models and applications for health care practitioners. The goal? Raising the standard of care for all of us. Nearly a third of all digital information is generated by the health care sector, but 97% of it isn’t available to physicians or clinicians because not only does it take a variety […]

This blog has been guest-authored by Christin Siscoe, MSN, RN, CPN, a Patient Navigator with the UDNF, and Dr. Isaac “Zak” Kohane, MD, PhD, Principal Investigator of the UDN Data Management Coordinating Center. Every day, countless individuals grapple with unexplained illnesses, their lives in limbo, as medical experts struggle to identify the cause of their […]

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 […]

Embracing generative AI is imperative for life sciences organizations to stay competitive. However, the rapid evolution of models and data strategies has been overwhelming. While this diverse array of choices enhances business outcomes, life sciences leaders face the daunting task of strategizing for a future amid new AI breakthroughs emerging every week. At the recent […]

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. […]