AIoT Health

Investment approach

Thesis

Previous improvements in healthcare have been derived by understanding how the “average” individual in a cohort responds to treatment. In the future, nuance will be added to our layer of knowledge through the delivery of Personalized Medicine.  Digital technology and Machine Learning are 2 tools that help facilitate Personalized Medicine. Digital technology is powerful in that can improve outcomes in healthcare simply through patient engagement. We are very interested in the power of biofeedback to improve healthcare outcomes without requiring new operations and drugs. The ability of wearable technology to easily track longitudinal data points opens up new metrics and treatment avenues for ongoing improvement in healthcare outcomes. From an investment point of view, Heathtech is an attractive opportunity, given that digital technology has already been validated in diverse fields such as communication, finance, retail and entertainment. Healthcare has the opportunity to leverage learnings and not have to re-invent the wheel. With AIoT Health’s experience at the front lines of healthcare, we can identify the niches and crevices where digital technology can have clinically meaningful impact beyond mere “nice to have” technology. Artificial intelligence today is in its infancy, akin to where the internet was in the early 1990s. Someday, most jobs will be augmented by AI. We aim to be part of the evolution and help shape the pathway of how machine learning is applied in healthcare to solve the challenges that will improve patient outcomes.Source (opens in a new tab)

Investing status notes

We invest in early-stage companies that use digital technology and machine learning as tools to deliver Personalized Medicine.