Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

Abstract Studies on the applications of infrared (IR) spectroscopy and machine learning (ML) in public health have increased greatly in recent years. These technologies show enormous potential for measuring key parameters of malaria, a disease that still causes about 250 million cases and 620,000 de...

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Bibliographic Details
Main Authors: Issa H. Mshani, Doreen J. Siria, Emmanuel P. Mwanga, Bazoumana BD. Sow, Roger Sanou, Mercy Opiyo, Maggy T. Sikulu-Lord, Heather M. Ferguson, Abdoulaye Diabate, Klaas Wynne, Mario González-Jiménez, Francesco Baldini, Simon A. Babayan, Fredros Okumu
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Malaria Journal
Subjects:
Malaria surveillance
Infrared spectroscopy
Artificial intelligence
Machine learning
Deep learning
Target product profiles
Online Access:https://doi.org/10.1186/s12936-023-04780-3

Internet

https://doi.org/10.1186/s12936-023-04780-3

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