AWS for Industries
Author: Anuj Patel
Anuj Patel is a Senior Solutions Architect at AWS. He has M.S. in Computer Science and over 2 decades of experience in software design and development. He helps customers in Life Sciences industry through their AWS journey. His passion lies in simplifying complex problems, enabling customers to unlock the full potential of AWS solutions.
Scalable Metadata Discovery Solution Accelerates Molecular Research
Healthcare and life sciences (HCLS) organizations are generating more data than ever as they integrate molecular data into their drug discovery, clinical development, molecular diagnostics, and population health analysis. Because of the amount of data, customers are looking for well-organized cost-effective storage that supports easy discovery and integration into their analysis ecosystem. Customers also want […]
Accelerating Genomic Data Discovery with AI-Powered Natural Language Queries
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. […]
Orchestrating Multiple AWS HealthOmics Workflows at Scale
In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]