AWS Startups Blog
Category: Healthcare
AI-enabled Radiomics Revolutionizes Cancer Research and Treatment on AWS
Healthcare startup Healthmyne is a pioneer in applied radiomics, the cutting-edge field of extracting novel data and predictive biomarkers from medical images. Through their AI-enabled radiomic solutions, they help organizations access and easily translate ground-breaking radiomic insights into use in cancer research, treatment planning, and clinical management.
Q Bio: Creating the First Digital Twin Platform for Medical Analysis
Q Bio is building a digital twin platform that will propel the world into a future where a regular checkup with a doctor is no longer subjective – it’s data driven. They want to capture all the data they can about someone’s health by measuring every single biomarker in the body and cataloging the data, and making it easy to search and analyze. Here’s how they’re doing it.
Galen Data on Building on the Shoulders of Giants
Galen Data’s mission is to connect all of the world’s medical devices. It’s a bold one, but they believe connectivity is key to innovation in healthcare. From remote monitoring, telehealth, and early diagnosis, to personalized medicine — these all require data obtained by connecting medical devices and other repositories to a centralized system.
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.
Proscia Is Transforming Biomedical Research With Digital Pathology And AWS
Together, Proscia, JPC, and AWS are unleashing a new wave of biomedical research with endless potential to shape our understanding and diagnosis of current and future disease. Here’s how we’re doing it.
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.
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.
Veteran-Centered Telemedicine App Scales Its Unique Model with Amazon AppFlow
Telehealth is changing healthcare as we know it. With platforms like Talkspace and Better Help at our fingertips, talk therapy in particular has become increasingly accessible. But according to William Negley, CEO of Sound Off, there are still major gaps to fill.
How Nym Health Provides a HIPAA Compliant Medical Coding Solution Using AWS
All medical coding must be compliant with the Health Insurance Portability and Accountability Act (HIPAA), which has strict digital privacy rules in order to protect patient health information (PHI). Here’s how Nym Health does it with 98% accuracy.
Doxy.me & the Race to Telemedicine: Flying Before You Can Run
Web-based teleconferencing app Doxy.me saw explosive growth in the demand for their services after the COVID-19 pandemic began, with the peak being almost 3,000 sign-ups in a single day. With AWS, they were able to quickly readjust and rapidly scale their hardware to handle the influx. Here’s how they did it.