Tag: Healthcare / Life Sciences
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.
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 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.
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.
Emerald Cloud Lab (ECL) provides access to a highly automated laboratory, equipped with over 200 unique pieces of scientific instrumentation, to any scientist with a computer and internet connection. As their cloud lab expands to meet growing demand, they’ve faced a growing need for scalable, on-demand compute. To address this growth, ECL built Manifold, a microservices-based architecture that runs on AWS Fargate.
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.
Polly is a DataOps platform that allows data scientists to access ML-ready data generated from data repositories, proprietary experiments, and publications. Powered by AWS, Polly’s infrastructure is fast, secure, and scales seamlessly.
Celeris Therapeutics (CelerisTx) is pioneering the adoption of AI on proximity-inducing compounds (PICs), focusing on Targeted Protein Degradation. To save developer time and gain quicker insights, Celeris turned to Amazon SageMaker.
Early in the pandemic, startup PostEra saw a need for an accessible therapeutic treatment – but they had trouble getting anyone to listen. Recognizing concerns ranging from public sentiment to the difficulty in delivering vaccines or antibodies to the Global South, PostEra helped launch a worldwide effort to develop novel antivirals, using technologies from AWS. With help from our team, PostEra rolled up their sleeves to rapidly scale the infrastructure and innovative technologies to speed compounds toward clinical development.
Menten AI created the world’s first protein designed on a quantum computer. The feat has huge implications for the world of drug discovery and design—and ultimately for all of us who may benefit from novel therapeutics to treat diseases.