Cholesterol can be a killer but detecting and measuring it is normally invasive and tricky, but soon your smart watch could measure it for you.


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As Artificial Intelligence (AI) and sensor technology improves we increasingly no longer need to go to the doctor as regularly or use invasive procedures to diagnose health problems – whether it’s using your smartphone’s camera to diagnose cancer or take your pulse, doing an ultrasound scan, or using its microphone to diagnose everything from COVID, diabetes, and heart attacks, to dementia and PSTD, and many other examples. Now though your smartphone has another new neat healthcare trick.


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For people with coronary heart disease, regular monitoring of bloodstream cholesterol levels is essential – and it typically requires the drawing of blood samples. A new system, however, is claimed to provide the same data simply by imaging the skin of the hand.

The novel setup was developed by scientists from the Chinese Academy of Sciences and the University of Science and Technology of China.

Clinicians start by using an alcohol swab to clean the palm skin on the patient’s non-dominant hand, since its skin is softer and easier to “read” than that of the more often-used dominant hand. They subsequently stick a plastic adhesive-backed ring onto the cleaned area, then get the patient to place their hand on a scanner, so the ring aligns with a lens on the device.


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By analyzing the manner in which the skin absorbs and scatters light, the scanner proceeds to ascertain the skin’s default spectral signature. Next, a special reagent chemical is added to the space inside the ring, so that it coats the skin. After the excess reagent is cleaned out, the skin in then re-scanned.

This time, the chemical causes any cholesterol that’s present in the skin oil to fluoresce, altering the skin’s spectral signature. By analysing the differences between the default and the altered signatures, it’s possible to determine the patient’s skin cholesterol levels, which correspond to those in the bloodstream.


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The technology has been proven accurate when tested on 121 patients with acute coronary syndrome, the bloodstream cholesterol levels of whom had already been measured via traditional methods. It is now hoped that the system could be used for long-term non-invasive monitoring of such patients.

“Just put your hand on, and the system will tell you the cholesterol data,” says the lead scientist, the Chinese Academy of Sciences’ Prof. Wang Yikun. “As cholesterol is one of several types of fats (lipids) that play an important role in your body, we can track your fats in this simple way.”

A paper on the research was recently published in the journal Lipids in Health and Disease.

Source: Chinese Academy of Sciences

About author

Matthew Griffin

Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, Bloomberg, CNBC, Discovery, RT, Viacom, and WIRED, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Aon, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.

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