AWS Startups Blog

Tag: Healthcare Tech

AWS Expand Helps International Healthcare and Life Sciences Startups Develop Go-To-Market Strategies for the US Market

Amazon Web Services has partnered with MATTER, the premier healthcare technology incubator and innovation hub, to launch AWS Expand. The program supports startups entering the US market from Europe, the Middle East, and Africa (EMEA) by providing expert guidance, mentorship, client connections, an extensive network within the healthcare industry, and more.

How Navina Leverages the Full AWS Toolkit to Make Data Work for Doctors and Patients

Founded in 2018, Navina is leveraging the full AWS toolkit to improve the human-to-human interactions at the heart of healthcare. “[The result is] a better physician experience,” says Anne Amario, Navina VP of Marketing, as well as “better diagnosis and care.” Learn how Navina is driving better patient outcomes and preserving physicians’ revenues.

Lokavant Creates a Paradigm Shift in Clinical Trial Intelligence with AWS

Lokavant is a Clinical Trial Intelligence company with the mission to decrease the time and cost of developing drugs by mitigating operational risk. When developing their products and platform they partner to provide the best environment for building and deploying, without bogging down the business with unnecessary costs and effort. Lokavant quickly realized that AWS could help provide the solutions that they urgently needed.

How Citus Health Uses AWS to Provide Secure and Real-Time Virtual Patient Care

Startups move at a very fast pace, and details like security, elasticity, and availability can end up neglected due to wanting to release a product or service as quickly as possible. By utilizing AWS, Citus Health was able to leverage built in tools and services to secure their environment and ensure that their services remain available and resilient.

AWS Healthcare Accelerator in the UK Announces 12 Startups Selected for the Inaugural Programme

We are excited to announce the selection of the 12 participants for the first ever AWS Healthcare Accelerator in the UK, a four-week program that cultivates and promotes innovative startup solutions that achieve the quadruple aim of improved patient experience, improved clinician experience, better health outcomes, and lower cost of care.

Helping People Quit Smoking Through Financial Rewards

Vincere Health offers low-cost access to addiction healthcare using reward-based habit training. Their belief is clinicians being in the loop are integral to lasting behavior change, and that the technology serves to facilitate and personalize this relationship at scale. Vincere chose AWS as their cloud provider because AWS provides the necessary tools to help us build a HIPAA compliant platform.

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.

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.