Demystifying AI and machine learning in healthcare
AI in healthcare feels inevitable: Optimists predict that artificial intelligence and machine learning (AI/ML) will diagnose disease better and earlier, treat illness more precisely, and engage patients more efficiently than today’s healthcare system does. On top of this, AI/ML is expected to streamline business operations and restore sanity (and humanity) to the clinician experience. To separate hype from reality, and access the complete white paper, connect with our partnerships team.
Rock Health’s investment team grows with addition of Venture Principal Jeff Trost
FDA compliance made easy: Welcome, Enzyme!
A new research tool for a new phase of digital health: the analyses we now support
2017 was a record year for digital health by many accounts: total funding far surpassed previous years, there were more investors participating in digital health deals, and we saw more mega deals of $100M+ than ever before. With the industry maturing and entering its “middle innings,” we significantly expanded our Digital Health Funding Database and the information we track on every venture deal and company.
2017 Year end funding report: The end of the beginning of digital health
2017 was a record-smashing year for digital health, with venture funding approaching $6B and the most mega deals ($100M+) to date. It’s clear that the early game has concluded and digital health is entering the “middle innings” as an investment sector.
Announcing the 2017 Aging in Place $50K Challenge Winner: DispatchHealth
Meet the 2018 Top 50 in Digital Health Honorees
Podcast: Uncovering the real value of AI in healthcare with Andrew Ng
The future of virtual medicine: what the CMS MDPP ruling means for patients and digital health
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