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Magazine
-
How to Build Lasting Longevity Habits as a Busy Parent
9 min read
-
What Chronic Stress Does to Your Body — and Why Your Standard Tests Won't Show It
11 min read
-
The First 1,000 Days: How Your Gut Microbiome Shapes Lifelong Health
7 min read
Weekly picks on longevity, brands, and health science. No spam—unsubscribe anytime.
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Kernel
Founded in 2016 by entrepreneur Bryan Johnson, Kernel is dedicated to revolutionizing neuromedicine through advanced brain measurement technologies. With a significant personal investment, Johnson established the company to explore the potential of neuroprosthetics and brain-computer interfaces.
Kernel’s primary innovation, the Kernel Flow headset, utilizes time-domain functional near-infrared spectroscopy (TD-fNIRS) to monitor brain activity. This non-invasive device measures changes in blood oxygenation, serving as a proxy for neural activity, and achieves a sampling rate of 200Hz. The integration of hemodynamic data with EEG signals offers a detailed understanding of brain function, facilitating applications in treatment response prediction, translational research, clinical trial optimization, and early identification of neurological conditions.
Key Features:
• Accessible and Portable: Kernel Flow is designed for ease of use, with a setup time of less than three minutes, making it suitable for various environments, including clinical and research settings.
• Comprehensive Data Collection: The device combines hemodynamic and EEG measurements to provide a holistic view of cortical activity, enabling precise monitoring of brain function.
• Validated Technology: Kernel’s platform is built upon decades of functional neuroimaging research and has been validated through multiple peer-reviewed publications, ensuring the reliability and accuracy of its measurements.
Kernel’s mission is to make brain measurement as accessible and routine as blood tests, empowering clinicians and researchers with the data needed to advance neuromedicine and improve patient care.
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Bryan Johnson
Founded
2016
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