AWS Startups Blog

Tag: Healthcare / Life Sciences

Olive Builds the Internet of Healthcare and an AI Workforce on AWS

Today, the healthcare industry is flooded with software. Any given hospital has an EMR, billing software, different portals for every insurance partner, and individual medical tools each with their own interfaces, just to name a few. None of these systems work together, and the downstream effects dehumanizes the care experience. Olive is designed to connect these disparate parts, shining a new light on old processes, connecting providers delivering care and payers reimbursing that care to ultimately drive a better patient experience.

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Sparta Science: Predicting Musculoskeletal Injury Risk with Force Plate Machine Learning™ on AWS

Sparta Science delivers a movement health solution to organizations who want to protect their most valuable resource – people. Elite sports teams, military units, performance and rehabilitation businesses, occupational health providers, and employers use Sparta Science’s Movement Health Platform (SMHP) to assess injury risk and performance, and to guide improvements in musculoskeletal health. Here’s how they’re leveraging AWS to do it.

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Flo: Advancing Women’s Health with ML and Amazon SageMaker

The body is often a mystery, and it’s nice when an external source is able to provide expert, evidence-based information about it. Flo App, a holistic health and wellbeing platform that helps women understand their bodies and minds, was built to do just that. Founded in 2015, Flo supports women as they make better informed decisions about their reproductive, physical, and mental health.

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AWS Migration Strategy for VirtualHealth’s Leading Healthcare SaaS Platform

VirtualHealth provides a SaaS platform to a number of the largest and most innovative healthcare organizations in the country that empowers care managers to optimally service patient needs. The platform hosts personal health information (PHI), meaning data security and integrity are paramount. Upon a thorough review of the data hosting landscape, they determined that AWS offered a compelling set of value propositions and decided to migrate.

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Onkolyze: Leveraging ML to Offer Personalized Cancer Treatment

The fight against breast cancer has made progress over the past two decades thanks to advances in treatment and screening. But while mortality rates from the disease have fallen for women over 50, they remain frustratingly steady for younger women. Onkolyze, a startup based in Singapore, is hoping to help solve just that problem by applying high-powered AWS GPUs and ML, making early detection much easier.

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Emedgene’s Migration to AWS for its AI-based Genomics Insights Platform

Founded in 2015, Emedgene has built an AI-based platform to automatically surface insights from genomics data. Previously, this data would need to be analyzed by genomics experts, of which there are only a few thousand around the world. Emedgene applies machine learning algorithms to generate these insights on the fly, essentially teaching computers how to be genetic researchers.

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