AWS Machine Learning Blog

Category: Public Sector

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. It partners with […]

MONAI Deploy on AWS Architecture Diagram

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

In this post, we show you how to create a MAP connector to AWS HealthImaging, which is reusable in applications built with the MONAI Deploy App SDK, to integrate with and accelerate image data retrieval from a cloud-native DICOM store to medical imaging AI workloads. The MONAI Deploy SDK can be used to support hospital operations. We also demonstrate two hosting options to deploy MAP AI applications on SageMaker at scale.

Develop generative AI applications to improve teaching and learning experiences

Recently, teachers and institutions have looked for different ways to incorporate artificial intelligence (AI) into their curriculums, whether it be teaching about machine learning (ML) or incorporating it into creating lesson plans, grading, or other educational applications. Generative AI models, in particular large language models (LLMs), have dramatically sped up AI’s impact on education. Generative […]

Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker

Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. The three-dimensional structure of a protein provides insight into its function and how it interacts with other biomolecules. Experimental methods to determine protein structure, such as X-ray crystallography and NMR spectroscopy, are expensive and time-consuming. In contrast, recently-developed computational methods can […]

Build a machine learning model to predict student performance using Amazon SageMaker Canvas

There has been a paradigm change in the mindshare of education customers who are now willing to explore new technologies and analytics. Universities and other higher learning institutions have collected massive amounts of data over the years, and now they are exploring options to use that data for deeper insights and better educational outcomes. You […]

Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and […]

first sample notebook

Share medical image research on Amazon SageMaker Studio Lab for free

This post is co-written with Stephen Aylward, Matt McCormick, Brianna Major from Kitware and Justin Kirby from the Frederick National Laboratory for Cancer Research (FNLCR). Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. Like the fully featured Amazon SageMaker Studio, Studio Lab allows […]

AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices

Cardiovascular diseases (CVDs) are the number one cause of death globally: more people die each year from CVDs than from any other cause. The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. This technology enables organizations to deliver telehealth solutions, which […]

Accelerate your career with ML skills through the AWS Machine Learning Engineer Scholarship

Amazon Web Services and Udacity are partnering to offer free services to educate developers of all skill levels on machine learning (ML) concepts with the AWS Machine Learning Engineer Scholarship program. The program offers free enrollment to the AWS Machine Learning Foundations course and 325 scholarships awarded to the AWS Machine Learning Engineer Nanodegree, a […]

SageMaker Data Wrangler Risk Modeling

Build a mental health machine learning risk model using Amazon SageMaker Data Wrangler

This post is co-written by Shibangi Saha, Data Scientist, and Graciela Kravtzov, Co-Founder and CTO, of Equilibrium Point. Many individuals are experiencing new symptoms of mental illness, such as stress, anxiety, depression, substance use, and post-traumatic stress disorder (PTSD). According to Kaiser Family Foundation, about half of adults (47%) nationwide have reported negative mental health […]