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.
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.
Earlier this year, US President Joe Biden set a goal to end cancer as we know it by improving prevention, screening, diagnosis, and treatment. To answer this call, AWS is expanding its ongoing work with the Children’s Brain Tumor Network (CBTN). Together, AWS and the CBTN will enable researchers and clinicians to share and analyze medical record, imaging, genomic, and other data in near real-time to speed development of new therapies for pediatric brain cancers.
How three AWS IMAGINE Grant winners are transforming the future of games, music, and health with AWS
Dive into conversations on the AWS Fix This podcast to learn how three AWS IMAGINE Grant winners are using the cloud to make impactful contributions to the planet through building community connections, preserving history, and saving lives.
Alex’s Lemonade Stand Foundation uses AWS to advance cutting-edge pediatric cancer research worldwide
In 2017, the Alex’s Lemonade Stand Foundation (ALSF) founded the Childhood Cancer Data Lab (Data Lab) to address an important gap in the pediatric cancer field: vast amounts of accumulated data were not being put to use at scale. To address this gap, the Data Lab used AWS to build refine.bio, an openly available collection of normalized bulk gene expression data, to make public datasets interoperable and reusable.