AWS for Industries
Category: Life Sciences
Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery
by Lisa McFerrin, Lee Tessler, and Stephanie Dattoli on 20 MAY 2026 in Amazon Bedrock AgentCore, Amazon SageMaker HyperPod, Healthcare, Industries, Life Sciences Permalink ShareIn this blog post, learn how at the 2026 AWS Life Sciences Symposium earlier this month, leaders from Sanofi, Genentech, Noetik, Apheris, Bristol Myers Squibb, Memorial Sloan Kettering, and more demonstrated how they’re using agentic AI today to accelerate scientific discovery and improve patient outcomes.
Accelerate development of bioinformatics workflows on AWS HealthOmics using call caching
by Nadeem Bulsara and Deven Atnoor, Ph.D on 26 FEB 2026 in Amazon Simple Storage Service (S3), AWS HealthOmics, Healthcare, Industries, Life Sciences Permalink ShareBioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]
Life Sciences Agents in Production: Early Research
by Ariella Sasson, Lee Tessler, and Stephanie Dattoli on 26 NOV 2025 in Industries, Life Sciences Permalink Comments ShareThis blog is the first installment of an agentic AI in production series, focused on sharing learnings, customer examples, and AWS offerings for agentic AI across the value chain. The life sciences industry is at an inflection point as organizations seek to advance beyond broad AI experimentation to strategic adoption of agentic AI in production. […]
Highlights from the 2025 AWS Life Sciences Symposium’s Clinical Trials track
by Oiendrilla Das on 02 JUN 2025 in Industries, Life Sciences Permalink Comments ShareOn May 6, more than 1,000 leaders from over 400 life sciences organizations convened in New York City for the seventh annual Amazon Web Services (AWS) Life Sciences Symposium. Centered on the theme “Building for Breakthroughs: AI-powered Innovations Transforming the Pharmaceutical Value Chain,” the event featured 26 sessions with 39 expert speakers, all focused on […]
Highlights from the 2025 AWS Life Sciences Symposium’s Commercialization track
by Oiendrilla Das on 29 MAY 2025 in Industries, Life Sciences Permalink Comments ShareOn May 6, more than 1,000 life sciences leaders from over 400 organizations convened in New York City for the seventh Annual AWS Life Sciences Symposium. United under the theme, “Building for Breakthroughs – AI-powered Innovations Transforming the Pharmaceutical Value Chain,” the event showcased how generative AI has moved beyond its hype to become a […]
Highlights from the 2025 AWS Life Sciences Symposium’s Manufacturing Track
by Oiendrilla Das on 27 MAY 2025 in Industries, Life Sciences Permalink Comments ShareMore than 1,000 life sciences leaders from over 400 organizations joined Amazon Web Services (AWS) in New York City on May 6, 2025 for the seventh Annual AWS Life Sciences Symposium. They were united by a bold theme: “Building for Breakthroughs – AI-powered Innovations Transforming the Pharmaceutical Value Chain.” Across 26 sessions, featuring insights by […]
7th Annual AWS Life Sciences Symposium
by Dan Sheeran and Stephanie Dattoli on 20 MAY 2025 in Amazon Bedrock, AWS HealthOmics, Industries, Life Sciences Permalink Comments ShareMore than 1,000 industry leaders from all corners of the life sciences industry converged in New York City for the seventh annual Amazon Web Services (AWS) Life Sciences Symposium to discuss the latest advancements in Life Sciences technology. Throughout the 26 sessions presented by 39 customer speakers, one sentiment was loud and clear: the future […]
Accelerating Genomic Data Discovery with AI-Powered Natural Language Queries
by Anuj Patel, Shailesh Doshi, and Satesh Sonti on 10 FEB 2025 in Amazon Bedrock Knowledge Bases, Amazon Redshift, Amazon Simple Storage Service (S3), Healthcare, Industries, Life Sciences Permalink Comments ShareIn 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. […]
No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
by James Gaines on 05 FEB 2025 in Amazon SageMaker Canvas, Featured, Healthcare, Industries, Life Sciences Permalink Comments ShareBuild 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.
Driving Innovation in Drug Discovery Using Generative AI with Bayer
by Oiendrilla Das, Giulio Volpin, Juan Antonio Dominguez, Marcilio Mendonca, Oliver Schaudt, Otto Kruse, and Stefan Appel on 16 DEC 2024 in Industries, Life Sciences Permalink Comments ShareAt 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 […]