Category: Research

LearnHaem, a nonprofit online educational resource based in Singapore, grew out of a need to make haematology content accessible and inclusive to medical professionals and students around the world. The LearnHaem website, built on AWS, provides one of the largest and most comprehensive collections of no-cost digitized images of microscopy slides and haematology educational content available in Asia Pacific, focusing on blood and blood-related disorders.

INFINITT Healthcare, a healthcare technology (HealthTech) company based in South Korea, is working to streamline digital pathology by extracting and transforming whole-slide imaging (WSI) output as a Digital Imaging and Communications in Medicine (DICOM) file—a digital version of WSI that is helping pathologists save time and resources, streamline multidisciplinary communication, and accelerate time to solutions in patient care. This is then stored in their cloud-based digital pathology system (DPS) built on AWS.

Learn how to store historical geospatial data, such as weather data, on AWS using Amazon DynamoDB. This approach allows for virtually unlimited amounts of data storage combined with query performance fast enough to support an interactive UI. This approach can also filter by date or by location, and enables time- and cost- efficient querying.

The AWS for Nonprofits team announced a new Amazon AppFlow data connector that enables nonprofits to transfer valuable data from Blackbaud Raiser’s Edge NXT to AWS services and other destinations. In this blog post, learn some common nonprofit use cases that can be addressed by integrating your data with other AWS services and commercially available software-as-service (SaaS) applications.

This quarter, AWS released 36 new or updated datasets. As July 16 is Artificial Intelligence (AI) Appreciation Day, the AWS Open Data team is highlighting three unique datasets that are analysis-ready for AI. What will you build with these datasets?

To celebrate the leaders and organizations that are propelling the academic landscape forward, AWS announced the 2023 cohort of Education Champions at IMAGINE: Education, State and Local Leaders 2023 Conference. The 2023 AWS Education Champions are pioneers that demonstrate meaningful digital transformation at their education institution to improve student outcomes, build institutional resiliency, accelerate research that can lead to life-changing discoveries, and more – all using the AWS Cloud.

AWS announced the availability of Landing Zone Accelerator (LZA) for Education, an industry-specific deployment of the LZA on AWS, designed to further support education customers in designing cloud environments for their compliance needs. The LZA on AWS solution is architected to align with AWS best practices and multiple, global compliance frameworks. The new LZA for Education builds on the LZA to help customers secure their research workloads or workloads containing student data by giving them a set of default configurations that they can use as a starting point and iterate on to define security and compliance posture as code.

Dr. Kevin Leyton-Brown and Neil Newman are computer scientists at the University of British Columbia (UBC) working at the intersection of artificial intelligence (AI) and microeconomic theory. Their research demands large-scale, high-performance computing, in episodic bursts, to run parallel simulations of complex auctions. When Leyton-Brown and Newman began research into the computationally complex auction theory behind the 2016 United States wireless spectrum auction, their ML models required significantly more computing power than their on-premises infrastructure could provide. The UBC team turned to RONIN, an AWS Partner, and the virtually unlimited infrastructure of the AWS Cloud, to accelerate their time to answers and new discoveries.

The National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS DSS), powered by AWS, is a genomic database that provides access to publicly available datasets for Alzheimer’s disease and related neuropathologies. Created to make Alzheimers-genetics knowledge more accessible to researchers, NIAGADS has genomics data on 172,701 samples from 98 datasets and is now 1.3 petabytes (PB) in total size. NIAGADS is creating a system that promotes scientific discovery through data sharing with a large cadre of institutions.

The NYUMets team, led by Dr. Eric Oermann at NYU Langone Medical Center, is collaborating with AWS Open Data, NVIDIA, and Medical Open Network for Artificial Intelligence (MONAI), to develop an open science approach to support researchers to help as many patients with metastatic cancer as possible. With support from the AWS Open Data Sponsorship Program, the NYUMets: Brain dataset is now openly available at no cost to researchers around the world.