Tech takes on dengue

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South­east Asia Globe spoke to Helmi Zakariah, Asia-Pa­cific

CEO for US-based tech firm Ar­ti­fi­cial In­tel­li­gence in Med­i­cal Epi­demi­ol­ogy (AIME), which is us­ing AI to pre­dict dengue fever out­breaks up to three months in ad­vance, cit­ing 86% ac­cu­racy from tests in Malaysia and Brazil

What are the lat­est de­vel­op­ments from AIME?

AIME re­cently de­ployed its flag­ship AI Dengue Plat­form in Pe­nang on a com­mer­cial ba­sis. The con­tract saw Pe­nang be­come the first state in Malaysia to in­te­grate AI pre­dic­tive ca­pac­ity in its work process to con­tain and con­trol the out­break of dengue, which saw bet­ter­tar­geted in­ter­ven­tion, high im­pact out­come and more ef­fi­cient use of re­sources.

What has been the im­pact?

De­ploy­ment of AIME has seen positive trac­tions. Hu­man cap­i­tal and ma­te­rial re­sources are al­lo­cated more ef­fi­ciently across the state, as plan­ning can be done in ad­vance. Num­bers of re­ported out­breaks grad­u­ally de­creased statewide due to the con­found­ing ef­fect of ef­fec­tive con­trol in­ter­ven­tions.

Do you have any work on the hori­zon you are ex­cited about?

AIME sees huge po­ten­tial in util­is­ing big data an­a­lyt­ics to solve press­ing global health is­sues – like an­timi­cro­bial re­sis­tance (AMR) and pan­demic in­fluenza. We are of the perspective that by go­ing be­yond pas­sive sta­tis­ti­cal data anal­y­sis, AIME can lever­age its AI ca­pa­bil­ity in pre­dict­ing the next in­fluenza out­break and emerg­ing mi­cro­bial re­sis­tance strain to an­tibi­otics, thus en­abling better pre­pared­ness and re­sponse mea­sures.

Mos­qui­toes carry dengue fever in South­east Asia and be­yond; Helmi Zakariah of Ar­ti­fi­cial In­tel­li­gence in Med­i­cal Epi­demi­ol­ogy (inset)

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