AWS for Industries
Tag: amazon sagemaker
Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Sr. AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Startup Solutions Architect at AWS. This is the second blog post in a two-part series on Multimodal Machine Learning (Multimodal ML). In part one, we deployed pipelines for processing RNA sequence data, clinical […]
Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Senior AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Partner Solutions Architect. Healthcare and life sciences organizations use machine learning (ML) to enable precision medicine, anticipate patient preferences, detect disease, improve care quality, and understand inequities. Rapid growth in health information […]
Machine Learning Leukemia diagnosis at Munich Leukemia Lab with Amazon SageMaker
Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]
Algorithmic Trading on AWS with Amazon SageMaker and AWS Data Exchange
It is well known that the majority of stock transactions are automated (as described here and here), for example using applications or “robots” implementing a trading strategy. More recently, an emerging trend in the financial services industry is the movement of trading solutions, such as algorithmic trading solutions, to the cloud (as described here and […]
[In the News] The Intelligent Era: Design, Detect, Discover
This article originally appeared on BBC StoryWorks. How machine learning is changing the pharmaceutical industry and reshaping the way drugs are produced in the 21st century The scale of the pharmaceutical industry is staggering. There are millions of patients to take care of, billions of data points generated by every clinical trial—and that’s before you […]
Building a multi-channel, data driven patient engagement platform with AWS
In today’s digitally transformed world, it’s more important than ever to have a deeper understanding of your patient’s attitude and behavior, and to engage them with personalized content through the channels that they prefer in order to provide efficient and personalized patient care. In addition, with today’s value-based healthcare, the patient is the center of […]