Digital Genetic Diagnosis of Malaria Using Explainable Deep Learning
This study provides the first proof-of-concept that lightweight, interpretable CNNs can bridge molecular parasitology and digital pathology by enabling the inference of parasitic genetic activity from standard blood smear images, offering a scalable, low-cost diagnostic adjunct suitable for resource-limited settings an...