Category: Healthcare

Scientists at the National Institutes of Health (NIH) recently uncovered how a structure known as low-density lipoprotein (LDL), which transports “bad” cholesterol through the bloodstream, interacts with its receptor molecule to enter cells—information that has eluded researchers for decades. The findings could lead to more personalized treatments for cardiovascular disease and were enabled by cutting-edge high performance computing (HPC) infrastructure from AWS. Read this post to learn more.

By using the robust capabilities within AWS GovCloud, Trackable Health has developed a comprehensive trackable solution that delivers real-time health and fitness tracking and personalized readiness scores, providing immediate feedback and AI-powered recommendations for improvement. Read this post to learn more about Trackable Health’s solution.

In this post, we discuss Health Kaki, a generative AI health companion using the Amazon Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.

In this post, we discuss the AI Genomic Schema Harmonizer, a generative AI–powered application that revolutionizes how laboratories prepare genomic data for submission to public repositories.

What if a Medicaid agency could make sure that their leadership and staff had access to a reliable, single source of truth for their data in one unified platform? The implementation of an operational data store (ODS) presents a viable solution. This post explains the architectural choices available with Amazon Web Services (AWS) to effectively create and maintain an ODS.

Dr. Gao Wang’s innovative research at Columbia University, powered by AWS cloud computing, represents a cutting-edge approach to understanding Alzheimer’s disease through functional genetics. Read this post to learn more.

In this post, we describe how AWS Partner CIMAR’s medical image management platform is enabling the rapid roll-out, scaling, and operation of the National Health Service (NHS) England’s national lung cancer program, connecting 124 acute NHS trusts and multiple mobile scanning units.

When Siriraj Medical Research Center planned their “Nanopore workshop: bacterial genome bioinformatics series” for more than 60 researchers, they faced a common challenge: how to provide consistent, high-performance computing environments for complex genomic analyses. AWS offered the solution through Amazon WorkSpaces, transforming how Siriraj Medical Research Center delivers hands-on bacterial genomics training.

In this post, we will discuss how MSBMI and CDHI joined forces to address UTHealth Houston’s reliance on faxing. The MSBMI and CDHI team—supported by UTHealth Houston Information Technology and Amazon Web Services (AWS)—built, deployed, and migrated a new solution called iDFax.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.