AI Brings New Meaning to Holistic Health

SXSW Takeaways
SXSW Takeaways

In today’s rapidly evolving landscape, where AI is advancing at an exponential rate, holistic health takes on a new meaning. Recent conversations we had with founders, investors and corporate innovators at SXSW highlighted how AI influences our holistic well-being, raising questions about how we will use our minds and bodies as AI streamlines workflows in our personal and professional lives.

 

Connected Wellness Devices Move from Data Collection to Insight Companion  

AI-enabled wearables, such as the Apple Watch, Whoop, and Oura Ring, have made significant headway on the quantitative front, commercializing predictive health analytics through devices that allow users to monitor productivity, energy levels, and stress based on metrics like steps, sleep cycles, and temperature. This wave of technology has enabled us to measure the basics of our health and slowly move forward in predictive analysis of energy levels or fatigue, stress, and more. 

 

Personalization Hits Healthcare 

AI is poised to revolutionize personalized healthcare by tailoring patient experiences to individual complexities. Currently, healthcare often focuses on treating symptoms with standardized treatments, but AI can help uncover more nuanced approaches, reducing potential side effects and enhancing holistic well-being. As AI continues to evolve, it will be the key to unlocking personalized holistic health, ensuring that each individual receives care that is tailored to their unique needs and circumstances.

 

The Days of Digital Duplicates Lie Ahead 

The concept of digital twins emerged during our dinner as central to the future of health and AI. Imagine an AI-driven avatar that captures real-time vital signs, dietary choices, and stress levels, simulating how changes in lifestyle might affect future health. This technology could transform how we approach wellness, travel, and innovation. We are still many years away from this vision, but today, digital twins are being utilized as virtual models of patients, integrating real-time data from various sources like vital signs, dietary choices, and stress levels. This technology is being applied to simulate health outcomes and predict the effects of different treatments or lifestyle changes. 

 

Written by Camille Manso and Shirine Marzouki

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