OVERVIEW
Devices
AI-Powered Precision for Non-Invasive Health Monitoring
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Our advanced machine learning algorithms drive the development of innovative wearable devices, which we meticulously design and prototype to deliver precise, real-time, and non-invasive physiological monitoring. By leveraging cutting-edge AI, sensor technology, and data analytics, our wearables provide accurate insights into vital health parameters, enhancing early detection, personalized healthcare, and overall well-being. With a strong focus on reliability, comfort, and accessibility, we aim to revolutionize physiological monitoring for both medical professionals and everyday users.
Chewing
SKID
ReaCT
NEUROSCENT
Frequently asked questions
What wearable devices does the Metabolic Intelligence Lab develop?
Five, all developed at the Metabolic Intelligence Lab of Università Cattolica del Sacro Cuore in Rome: Chewing, an EMG wearable that measures chewing time, number of chews and muscular intensity; SKID, a skin analysis device combining autofluorescence with artificial intelligence; ReaCT, an algorithm for real-time heartbeat dynamics and personalised cardiovascular training; NEUROSCENT, which reads the brain’s response to smell from 64-channel EEG; and Byo-me, an AI nutritional assistant built with Chirale S.R.L.
Are these devices available to buy?
No. They are research prototypes, not products on the market. Patent applications covering Chewing, SKID, ReaCT and NEUROSCENT have been filed and are under examination. The lab collaborates with companies and research groups on their development: enquiries go through the contacts page.
What do the devices measure?
Chewing measures masticatory activity through surface electromyography of the jaw muscles. SKID measures skin autofluorescence to determine skin biotypes. ReaCT analyses heartbeat dynamics during exercise. NEUROSCENT measures the cortical response to controlled odour stimulation, to assess olfaction objectively. Byo-me works on dietary and metabolic data rather than on a sensor signal.
Why does a metabolism lab build its own hardware?
Because the metabolic models developed in the lab need continuous, real-world signals to be calibrated on an individual. Wearable sensors provide the input, the models turn it into predictions, and the predictions are what reach the user.
The full publication list behind our wearable technology is on the Publications page.