Tag: health care / life sciences

The team at Alpha Health has developed new approaches and built technology from the ground up that is purpose-built to automate revenue cycle operations for healthcare. They call their solution Unified Automation, and they built it on Amazon Web Services (AWS) for a number of reasons. Varun Ganapathi, co-founder and CTO of Alpha Health, tells us more.

Myo passionately believes in the principle of automatization in every stage of the business development process. That’s why, in 2019, they decided to make the much-needed transition to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS. Josip Medic, a software engineer at Myo, walks us through how they did it.

The only way for pharmaceutical companies to counteract today’s unprecedented changes is to extract better insight from their existing data and to develop systems that allow for more rapid decision making. Making better use of data up front will help these companies access data from across silos and then more quickly decide which therapies to pursue in the drug development process.

​Komodo Health​, has been growing rapidly in our mission to reduce the global burden of disease by building software and data products based on a foundation of health data. Their Healthcare MapTM captures the experiences of more than 320 million Americans (de-identified) as they move through the healthcare system. As they grew, they needed to evolve our infrastructure to reduce costs, scale access, improve engineering productivity, and improve resource efficiency.

Reverie Labs uses computation to drive the development of therapeutics for cancer. To do this, they’ve built substantial cloud-based infrastructure to train machine learning models, deploy models to production, and build and ship internal-facing applications for our chemistry teams.

During re:Invent 2019, the AWS Health Care/Life Sciences team hosted an afternoon of sessions. Talks were organized into two main topics: Computational Biology and Chemistry for Drug Discovery and Development, and Machine Learning in Biotech R&D.

Egnyte has long offered life sciences organizations a better way to collaborate from a secure, digital space, enabling the ability to transfer infrastructure to the cloud. Yet now Egnyte offers integration with Amazon Web Services (AWS), which provides numerous new features and services that help life sciences organizations get better scale, performance, speed, collaboration, agility and compliance.