Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis
Emmanuel P. Mwanga(Ifakara Health Institute), Fredros O. Okumu(Ifakara Health Institute), Simon A. Babayan(Centre for Immunity, Infection and Evolution), Francesco Baldini(University of Glasgow), Doreen J. Siria(Ifakara Health Institute), Mario González‐Jiménez(University of Glasgow), Halfan S. Ngowo(Ifakara Health Institute), Prashanth Selvaraj(Gates Foundation), Heather M. Ferguson(University of Glasgow), Francis Nangacha(Ifakara Health Institute), Salum A. Mapua(Ifakara Health Institute), Joseph P. Mgando(Ifakara Health Institute), Klaas Wynne(University of Strathclyde)
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