AarogyaAI, a healthcare and life sciences startup, is building with artificial intelligence and machine learning (AI/ML) on AWS. AarogyaAI rapidly diagnoses drug resistance in patients caused by bacterial, fungal, and viral pathogens. This allows clinicians to make data-driven treatment decisions and prescribe drugs that effectively treat and increase health outcomes for patients.
Healthcare and life sciences (HCLS) startups recognize that technology is an impactful vehicle for advancing human health at speed and scale. More importantly, HCLS startups are working to do something about it. C2i Genomics, founded in 2019, is one such startup: C2i Genomics is building a whole genome intelligence platform to improve cancer monitoring. Using artificial intelligence (AI) and machine learning (ML) solutions, C2i Genomics’ platform analyzes sequenced genome data to detect the tumor burden of cancer patients via a simple blood test.
Via her participation in the Black Founders cohort for the AWS Impact Accelerator Program, Dr. LaVonda Brown gained access to personalized coaching, capital funding, and technical solutions. Through this connection, she was able to deliver on a key requirement for their app to go to market.
SaaS Founder Series: Epistemix on how software simulations can create more empathetic decision-making
Sometimes companies that offer software-as-a-service (SaaS) need help creating scalable infrastructure so they can deliver their product to a larger audience. AWS SaaS Factory invited Epistemix’s chief executive officer (CEO) and co-founder John Cordier to share how the company is using Amazon Web Services (AWS) to scale, and how their software is helping data scientists […]
Though their personal experiences in the lab were different, Sara and Gabriel, PhD student, came to the same conclusion: research labs are seriously lacking when it comes to accessibility. It’s a pervasive problem not limited to one institution or type of disability. That’s why they decided to collaborate with LabVoice—a digital lab assistant platform designed specifically for the research lab. Working together with the LabVoice team, they developed an inventory search solution that allows users to record information, like chemical location and amount, and then retrieve it later entirely through verbal prompts.
As with all best forms of innovation, great ideas stem from true need. In Mexico, there is a need for an equitable, efficient, and sustainable healthcare system. Latino startup founders are addressing this need and advancing healthcare equity by leveraging artificial intelligence (AI) to drive better 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.
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.
This past year has demonstrated, now more than ever, the critical need to be able to develop and deploy rapid molecular testing at scale. The ability to do this has emerged as a major differentiator for ChromaCode, a startup diagnostics company based in Carlsbad, California. Paul Flook, PhD, CIO and VP of Software Engineering walks us through their journey.
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.