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AI-powered device can fight against malaria by detecting and repelling mosquitoes (opens in a new tab)

medicalxpress.com · 2026-10-12

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Short answer

Not a single study

No clear answer.

The article covers a research area rather than reporting a specific new paper, so there is no single study to check it against.

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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This story isn't reporting one study.

The article covers a research area rather than reporting a specific new paper, so there is no single study to check it against.

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No single source study.

The article covers a research area rather than reporting a specific new paper, so there is no single study to check it against.

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Claim 1 of 4Not checkedA Southampton student has invented an AI-powered device that detects and repels mosquitoes using sound.View evidenceHide evidence

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NewsLink could not identify one source study, so this claim was not compared against a paper.

Claim 2 of 4Not checkedThe device, called ISARS, uses the sound of a mosquito's wingbeat to identify species most likely to transmit malaria and then uses targeted sound to disrupt navigation with a frequency that continuously adapts.View evidenceHide evidence

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NewsLink could not identify one source study, so this claim was not compared against a paper.

Claim 3 of 4Not checkedThe gadget does not need chemicals, internet connection or complex infrastructure, is small and low-cost, and emits a subtle sound said to be quiet enough not to disturb sleep.View evidenceHide evidence

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NewsLink could not identify one source study, so this claim was not compared against a paper.

Claim 4 of 4Not checkedThe article says the invention could be suitable for use in homes in remote communities and could help prevent mosquito bites in order to reduce malaria treatment and management costs.View evidenceHide evidence

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NewsLink could not identify one source study, so this claim was not compared against a paper.

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PubMed, Crossref · 15 candidate papers

Candidate

Video 4. Video showing variation of amplitude with time, spectrogram, and automatically identified wingbeat frequency at eachtime window, synchronized with the Anopheles gambiae female mosquito recording corresponding to Supplementary file 1.

Crossref

Source (opens in a new tab)

And 10 more candidates considered.