Mayo Clinic creates AI-powered clinical decision/diagnostics support platform, two digital health portfolio companies

“Changing the nature of healthcare from episodic to continuous”. Mayo Clinic announced the launch of the Remote Diagnostics and Management Platform (RDMP) that will connect data to artificial intelligence (AI) algorithms and create a ‘next generation’ of clinical support tools, diagnostics, and care protocols for faster diagnostics and more continuous care. According to Mayo Clinic Platform president John Halamka, MD, “clinicians will have access to best-in-class algorithms and care protocols and will be able to serve more patients effectively in remote care settings.” Patients will be able to access information to take better control of their health and make more informed decisions.

Mayo Clinic, with partners, is also organizing two portfolio companies to support RDMP:

  • Anumana, Inc. With nference, a synthesizer of biomedical data, Anumana will bring to market digital sensor diagnostics to decipher electrocardiograms (ECGs). The objective is to more effectively spot heart disease at the pre-symptomatic stage, enabling early treatment that saves patients and costs. Their first project will be to develop neural network algorithms based on billions of relevant pieces of heart health data contained in Mayo’s Clinical Data Analytics Platform, including millions of raw ECG signals. nference with Mayo in the past year has released COVID-19 molecular research based on Mayo data. Anumana completed a Series A of $25.7 million funded by the partner companies plus Matrix Capital Management, Matrix Partners, and NTTVC.  nference release.
  • Lucem Health Inc. With Commure, a General Catalyst portfolio technology company that accelerates healthcare software development, Lucem will develop the platform for connecting remote patient telemetry devices with AI-enabled algorithms. Lucem is kicking off with a jointly funded $6 million Series A. 

We noted back in 2019 Dr. Halamka’s move to Mayo to head up a machine learning/AI initiative which took a while (during a pandemic year) but is moving quickly. The Mayo release includes a YouTube video of Drs. Halamka and Friedman explaining Anumana’s objectives in early diagnosis reading ‘those invisible signals’ well ahead of an event, especially needed with heart disease as the first symptom may be devastating or deadly. Hat tip to HISTalk, which also amusingly notes Dr. Halamka’s sartorial changes.

 

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