AWS Public Sector Blog
Tag: research
Extracting insights from PubMed articles using Amazon Q Business
PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.
Highlights from the AWS re:Invent 2024 Public Sector Innovation Session
During AWS re:Invent 2024, an Innovation Session presented by Worldwide Public Sector Vice President Dave Levy illustrated how AWS empowers customers to innovate and tackle critical challenges faster and more efficiently using cloud technology and generative artificial intelligence (AI). Take a few minutes to read this post and learn more about the transformative initiatives, inspiring customer stories, and technological developments that help AWS public sector customers improve life on Earth.
AWS supports ARPA-H Sprint for Women’s Health to advance crucial research and solutions
At Amazon Web Services (AWS), we believe in the power of cloud technology to transform healthcare and improve lives. Because of this, at AWS re:Invent 2024 we announced a commitment of up to $2 million in AWS credits to help four Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health launchpad awardees address critical unmet challenges in women’s health.
Announcing the 2024-2025 AWS IMAGINE Grant winners
The year 2024 was filled with both excitement and thoughtful consideration in the nonprofit sector as the world seeks to understand and apply transformative cloud technologies such as generative artificial intelligence (AI) to enhance impact and increase productivity. Amazon Web Services (AWS) is privileged to work alongside organizations in the social sector who are using these tools for the benefit of people and our planet, and who are leading conversations about how to do it responsibly. We’re proud to announce that many of those organizations are AWS IMAGINE Grant winners, representing our largest cohort of recipients to date.
Announcing the Generative AI for Geospatial Challenge, which awards $1M in AWS credits to innovators
The Taylor Geospatial Institute (TGI) and Amazon Web Services (AWS) are joining forces to accelerate geospatial data breakthroughs powered by generative artificial intelligence (AI). Through the Generative AI for Geospatial Challenge, they aim to inspire and nurture groundbreaking solutions coming from the convergence of geospatial data, cloud computing, and AI models. Read this post to learn more.
The Institut Pasteur is creating a searchable DNA database of all life on Earth using AWS
Where will the next pandemic-causing virus come from? The answer to this pressing question is locked away in the immense diversity of DNA carried around by life on Earth. A research team located at the Institut Pasteur, a Paris-based leading international research organization, plans to break into that vault of knowledge with IndexThePlanet. Read this post to learn more about the project, which aims to index the DNA of all living organisms, identify previously unknown viruses species, and create a DNA search engine.
AWS commits $10M to support new Cancer AI Alliance with the Fred Hutch Cancer Center
Amazon Web Services (AWS) is proud to be a healthcare and technology partner for the Cancer AI Alliance (CAIA), a new initiative announced today. The CAIA is a consortium of four National Cancer Institute (NCI)-designated cancer centers, led by the Fred Hutch Cancer Center, and leading technology and service companies. AWS is contributing a total of $10 million towards the more than $40 million in funding that helps establish the CAIA.
Building a secure and low-code bioinformatics workbench on AWS HealthOmics
Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.
University of British Columbia Cloud Innovation Centre: Governing an innovation hub using AWS management services
In January 2020, Amazon Web Services (AWS) inaugurated a Cloud Innovation Centre (CIC) at the University of British Columbia (UBC). The CIC uses emerging technologies to solve real-world problems and has produced more than 50 prototypes in sectors like healthcare, education, and research. The Centre’s work has involved 300-plus AWS accounts across various groups, including external collaborators, UBC staff, students, and researchers. This post discusses the management of AWS in higher education institutions, emphasizing governance to securely foster innovation without compromising security and detailing policies and responsibilities for managing AWS accounts across projects and research.
AWS helps Genomics England’s Multimodal programme accelerate research with whole slide images
Pathologists have been looking at morphological patterns in patients’ tissue sections highlighted by hematoxylin and eosin (H&E) staining for more than a century. However, as the pathology transformation from glass slides to digital imaging gains momentum, it opens the door to artificial intelligence (AI) tools to complement expert assessment with quantitative measurements to enable data-driven medicine. Yet, challenges remain with handling digital imaging files such as storage and pre-processing prior to application of AI tools. Genomics England have utilised Amazon Web Services (AWS) and tools such as Amazon SageMaker to demonstrate how to prepare digital pathology images for research and the development of machine learning models.