AWS Startups Blog

Category: Industries

How Pieces Technologies leverages AWS services to predict patient outcomes

Pieces Technologies, Inc. (Pieces), a healthcare and life sciences startup, is blazing a trail in the predictive AI/ML space. Pieces is a software as a service (SaaS)-based AI platform integrated into a hospital’s electronic health record (EHR). Their mission is to improve care by providing clinical insights along the patient journey. They offer predictions of health events such as projected discharge dates, anticipated clinical and non-clinical barriers to discharge, and risk of readmission, before they occur. Pieces also provides insights to healthcare providers in natural language, and optimizes the overall clarity of the patient’s clinical issues so care teams can work more efficiently.

Applications Are Now Open in the UK for the AWS Healthcare Accelerator Programme

The United Kingdom (UK) healthcare system’s acceleration of innovation in service delivery, along with its increased adoption of digitally-enabled, secure, and compliant solutions through the Covid-19 crisis has brought about great benefit for patients. Embracing digital health innovations has enabled the NHS to deliver a world-leading vaccination programme showing their inherent talent and collaborative, patient-centric capacity to transform at pace. Now, their focus moves to tackling backlogs in elective care, continuing to implement the NHS Long Term Plan, and focusing on transformation of services to support NHS resilience. To support both high-potential healthcare startups and the UK healthcare system’s demand for these types of solutions, we are excited to announce the launch of the AWS Healthcare Accelerator programme in the UK.

Image of a group of vials filled with blue liquid on a table

Accelerating Drug Development with Amazon Comprehend at Sumitovant

Sumitovant Biopharma seeks to discover the drugs of the future and rapidly get them to the patients who need them. Scientific research is key to their endeavor. To help us bring medicines to market faster, they need to pick out specific insights from the ever-growing body of literature on chemistry, biology, and disease. So they turned to Amazon Comprehend.

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.

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.

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.