Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite counts
S. Yanik, H. Yu, N. Chaiyawong, O. Adewale-Fasoro, L. Ribeiro Dinis, R. K. Narayanasamy, E. C. Lee, A. Lubonja, B. Li, S. Jaeger, P. SRINIVASAN
The paper develops a machine learning tool for automated parasite counting in rodent malaria models, achieving high accuracy and consistency across labs.
The American Journal of Tropical Medicine and Hygiene · Sep 10, 2024Peer-reviewedMicrobiology