Amazon Web Services (AWS)

Inaugural AWS Summit Healthcare Accelerator Finalists Announced

What You Should Know: – Amazon Web Services (AWS), today announced the ten finalists and participants for the first ever AWS Healthcare Accelerator.  The ten companies were selected from 427 applications from 31 countries around the world by a panel from Amazon Web Services (AWS) and KidsX.  The AWS Healthcare Accelerator is a four-week technical, …

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Olive Selects AWS as Its Preferred Cloud Provider to Create the Internet of Healthcare

What You Should Know: – Olive, the AI healthcare company, announced today the adoption of Amazon Web Services, Inc. (AWS) as its preferred cloud provider, now leveraging AWS’s computing capabilities to improve healthcare efficiency and reduce costs for patients and organizations. – Olive’s workflow automation solution will run on AWS to connect the disparate systems …

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How Technology Is Powering the Future of Personalized Health

Wilson To, Worldwide Lead for Healthcare, Life Sciences and Genomics at Amazon Web Services Unprecedented innovation and collaboration across the healthcare industry in the past year has presented a clear direction towards a patient experience that is precise, personalized, and human. The consumer-first mindset and the digital technologies that transformed e-commerce are changing healthcare as …

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Amazon Launches HealthLake for Healthcare Orgs to Aggregate & Structure Health Data

What You Should Know: – Amazon today announced the launch of Amazon HealthLake, a new HIPAA-eligible service enables healthcare organizations to store, tag, index, standardize, query, and apply machine learning to analyze data at petabyte scale in the cloud. – Cerner, Ciox Health, Konica Minolta Precision Medicine, and Orion Health among customers using Amazon HealthLake. …

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AWS, PHDA Collaborate to Develop Breast Cancer Screening and Depression Machine Learning Models

What You Should Know: – Amazon Web Services (AWS) and the Pittsburgh Health Data Alliance (PHDA) announce a collaboration to produce more accurate machine learning models for breast cancer screening and depression. – In work funded through the PHDA-AWS collaboration, a research team led by Shandong Wu, an associate professor at the University of Pittsburgh …

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