Category: Life Sciences

AMILI is a healthcare technology (HealthTech) company based in Singapore that seeks to advance precision medicine and personalized health and nutrition by harnessing the potential of the microbiome. AMILI uses artificial intelligence (AI) and machine learning (ML) on AWS to comprehensively quantify and characterize gut microbiomes. AMILI aims to build and curate the world’s largest multi-ethnic Asia microbiome database.

Medical software development companies Digithurst and Telepaxx worked together to create an end-to-end cloud solution chain handling administration of patient data and their radiological scans; viewing and editing of scans; as well as long-term archiving. To develop a scalable, secure, and cost effective solution chain supporting further innovations, the companies turned to the AWS Cloud.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. This quarter, AWS released 34 new or updated datasets from Impact Observatory, The Allen Institute for Brain Science, Common Screens, and others, which are available now on the Registry of Open Data in the following categories.

Japan’s High Energy Accelerator Research Organization (KEK), is a Nobel Award-winning Inter-University Research Institute, and one of the world’s leading accelerator research institutes. To further help researchers understand human biology, AWS and KEK recently announced a collaboration to develop GoToCloud, a KEK-led cloud platform that makes protein analysis faster and more cost-effective, boosting KEK’s research efforts and improving our understanding of disease. This initiative has also accelerated the digital transformation of Japan’s scientific research infrastructure, helping scientists discover new medicines and produce world-class research results using cloud technology.

Computational biology is undergoing a revolution. However, the analysis of single cells is a hard problem to solve. Standard statistical techniques used in genomic analysis fail to capture the complexity present in single-cell datasets. Open Problems in Single-Cell Analysis is a community-driven effort using AWS to drive the development of novel methods that leverage the power of single-cell data.