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Researchers from Johns Hopkins University and Medicine have developed a robotic system that allows medical staff to remotely control ventilators and other bedside machines from outside the room of patients with infectious diseases.
Researchers used causal machine learning approach to increase algorithm’s accuracy.
The platform will trace the source of manufactured products, such as PPE, to stymie the supply chain of counterfeit goods.
The company has established collaborations with several vaccine development companies, including the San Diego-based Arcturus which is running clinical trials in Singapore.
The project, launched by AVIA and former CMS chief Andy Slavitt, is focused first on examining where evidence-based care models can intersect with digital solutions.
A recent review of Medicare claims suggests a machine learning algorithm could flag individuals at higher risk of infection or help prevent outbreaks within skilled nursing facilities.
Parents are prompted to take a survey about risk and lifestyle factors, and are given guidance based on their scores.
Also: $30 million for Reify Health's clinical trial software, and more than $16 million for mPulse Mobile's AI-supported patient communications.
With the accompanying mobile app, users can detect a UTI through immediate testing results and choose to share information with a healthcare professional.
The health app evaluation and advisor organisation will provide Sigma with review and accreditation services to advance its digital health apps.