Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
With millions of people losing their ability to detect aromas as a result of COVID-19, our most underappreciated sense is drawing researchers’ attention.
Computational neuroscientist Guangyu Robert Yang lifts the lid on the use of machine learning to detect and process odours, and the wider implications for neuroscience.
The hundreds of receptors that give us our sense of smell have been found to have important roles in other parts of the body, and the prospect of targeting them with drugs is growing.
The loss of the sense of smell has been a hallmark symptom of COVID-19. The mechanisms behind SARS-CoV-2’s ability to interfere with this sense — as well as why variants such as Omicron do so less frequently — are becoming clearer.
Olfaction could influence how people respond to threats or select a partner. To investigate, researchers need to design experiments that can capture its effects.
Treatments for olfactory loss are currently scarce, but with millions of people unable to smell as a result of COVID-19, researchers are pursuing the problem with renewed vigour.