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Online Platform for Self-monitoring Sense of Smell

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Updating Date
Neurotech Category
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Digital & Health care
Clinical use (of cognitive, psychological, psychiatric, inc. early diagnosis)

SmellTracker is an online platform designed to help users self-monitor their sense of smell for the early detection of COVID-19.

The SmellTracker platform uses an algorithm that charts smell perception using common household items, including spices, vinegar, toothpaste, baking extracts, and peanut butter. The algorithm was developed by the laboratory of Prof. Noam Sobel at the Weizmann Institute’s Department of Neurobiology in collaboration with the Edith Wolfson Medical Center.

The venture was launched with backing from the Ministry of Defense and is currently available in English, Hebrew, and Arabic, with forthcoming releases in Swedish, French, Japanese, Spanish, German, and Persian.
Combating Coronavirus Pandemic:
SmellTracker uses an algorithm that charts smell perception using 5 household items. This may help notice an early sign of Coronavirus.

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