首页|Ifakara Health Institute Reports Findings in Malaria (Rapid assessment of the bl ood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spect roscopy and machine learning)

Ifakara Health Institute Reports Findings in Malaria (Rapid assessment of the bl ood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spect roscopy and machine learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mosquito-Borne Disease s - Malaria is the subject of a report.According to news reporting out of Morog oro, Tanzania, by NewsRx editors, research stated, “The degreeto which Anophele s mosquitoes prefer biting humans over other vertebrate hosts, i.e. the human bl oodindex (HBI), is a crucial parameter for assessing malaria transmission risk. However, existing techniquesfor identifying mosquito blood meals are demanding in terms of time and effort, involve costly reagents,and are prone to inaccura cies due to factors such as cross-reactivity with other antigens or partially digested blood meals in the mosquito gut.”

MorogoroTanzaniaAfricaCyborgsEme rging Technolo-giesHealth and MedicineMachine LearningMalariaMosquito-Bor ne DiseasesMosquitoesProtozoan InfectionsRisk and Prevention

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.9)