Indonesia has been developing an artificial intelligence (AI)-based malaria detection system, which will use data from many ...

Dr. Kolandaisamy discusses challenges and strategies for malaria elimination in Tamil Nadu, emphasizing surveillance and ...

The AI system is designed to detect a patient's malaria infection status automatically by analyzing blood smear microphotographs. Although one of the most difficult aspects of building the system is ...

This repository contains a comprehensive Jupyter Notebook that demonstrates how to build and train a convolutional neural network (CNN) using TensorFlow for the detection of malaria parasites in blood ...

Malaria parasites undergo an extensive metamorphosis after invasion of erythrocytes. This induces an increase in the surface ...

Despite decades of efforts focused on mosquito eradication, drug therapies, and vaccines, malaria remains hard to beat, especially in Africa.

A major factor in this persistence is the malaria parasite’s genetic adaptability, according to Abdoulaye Djimdé, president of the Pathogens genomic Diversity Network Africa (PDNA), a pan ...

In a recently published article in the journal Nature Communications, researchers at Karolinska Institutet present results ...