Featured Press
WebMD.com
Smart Clothes: The Latest in Wearable Technology
Recent Press
The Cardiology Show, Wearables Overview”
July 29, 2022
Dr. Ami Bhatt, MD the Chief Innovation Officer from American College of Cardiology discusses the efficacy of wearable devices to monitor heart conditions. .
‘The Plastic Surgery Show’ on Doctor Radio
May 10, 2022
Dr. Sherrell J. Aston, M.D. discusses the use of Nanowear’s SimpleSense platform to assist his patients during post procedural recovery.
SiriusXM Doctor Radio
January 5, 2022
Nanowear mentioned as a new FDA cleared technology that can help monitor patients remotely.
The Harry Glorikian Show
October 26, 2021
Nanowear’s Venk Varadan on the Next-Gen of Wearable Technology
The Wall Street Journal
September 27, 2021
These Sensor-Studded Smart Clothes Just Might Save Your Life
HealthTech Magazine
September 10, 2021
The Next Generation of Wearables Will Be “Transformative”
Healthcare Goes Digital
Financial Times
March 7, 2021
Disrupting The Hospital
MD+DI
Advisory.com Daily Brief
Politico
July 29, 2020
Will smart clothes flatten the curve?
MobiHealthNews
Fierce Healthcare
Beckers Healthcare Review
Doctors.net.uk
December 12, 2019
Interview with CEO and co-founder Venk Varadan.
What they’re saying about us
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Nanowear’s remote monitoring technology gives physicians an "exponential amount of relevant data metrics about the heart and lungs from an all-in-one product" that should ultimately enable providers to triage lower-risk patients and stratify high-risk patients.
— Sameer Jamal, MD, Cardiologist, Hackensack Meridian Health
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“One of the challenges of machine learning is to be able to demonstrate the safety, understandability, and predictability of a learned model. Nanowear has shown how to address this challenge in a critical health care application.”
— Peter Norvig, Director of Research, Google
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"...With billions of touchpoints per centimeter and large vectors across the heart and lungs, Nanowear's skin-to-impedance barrier is lower than other wearable sensors, resulting in location-agnostic, high signal-to-noise raw data from basic skin contact. The breadth of metrics, quality and quantity of data, and comfortable user experience are key for machine learning algorithms in various diagnostic verticals, even beyond healthcare."
— Suraj Kapa, MD, of Mayo Clinic
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