Robotics & Machine Learning Daily News2024,Issue(Jul.1) :92-93.

Ifakara Health Institute Reports Findings in Malaria (Screening of malaria infec tions in human blood samples with varying parasite densities and anaemic conditi ons using AI-Powered mid-infrared spectroscopy)

Ifakara健康研究所报告疟疾研究结果(使用人工智能中红外光谱技术在不同寄生虫密度和贫血状况的人类血液样本中筛选疟疾感染)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :92-93.

Ifakara Health Institute Reports Findings in Malaria (Screening of malaria infec tions in human blood samples with varying parasite densities and anaemic conditi ons using AI-Powered mid-infrared spectroscopy)

Ifakara健康研究所报告疟疾研究结果(使用人工智能中红外光谱技术在不同寄生虫密度和贫血状况的人类血液样本中筛选疟疾感染)

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摘要

一位新闻记者兼机器人与机器学习公司的新闻编辑每日新闻-关于蚊子传播疾病的新研究-疟疾是一篇报道的主题。根据NewsRx记者从坦桑尼亚莫罗格奥罗发回的消息,研究表明:“有效的疟疾检测,包括在非常低的密度下检测感染,对于成功消灭疟疾至关重要。不幸的是,现有的方法要么价格便宜,但敏感性差,要么敏感但昂贵。”这项研究的资助者包括鲁道夫·盖吉基金会、霍华德·休斯医学研究所、比尔和梅林达·盖茨基金会、皇家学会、医学科学院。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Mosquito-Borne Disease s - Malaria is the subject of a report. According to news originating from Morog oro, Tanzania, by NewsRx correspondents, research stated, “Effective testing for malaria, including the detection of infections at very low densities, is vital for the successful elimination of the disease. Unfortunately, existing methods a re either inexpensive but poorly sensitive or sensitive but costly.” Funders for this research include Rudolf Geigy Foundation, Howard Hughes Medical Institute, Bill and Melinda Gates Foundation, Royal Society, Academy of Medical Sciences.

Key words

Morogoro/Tanzania/Africa/Cyborgs/Eme rging Technologies/Health and Medicine/Machine Learning/Malaria/Mosquito-Bor ne Diseases/Parasitemia/Parasitic Diseases and Conditions/Protozoan Infection s

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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