The SMMALA project seeks to improve the diagnosis of malaria by developing approaches based on the automatic analysis of images of thick film slides placed under the microscope. The project is based on the development of a deep learning algorithm based on a smartphone application. The proof of concept, obtained thanks to various funding, made it possible to obtain support from the ANR to improve the deep learning algorithm, embed the application on a smartphone, then test the tool (acceptability and effectiveness) on the land in Benin.

Northern Partnership

IBENS UMR 8197

Southern Partnership

IRCB

Calendar

2023-2026

Direction

Gilles COTTRELL

Gilles COTTRELL

HOPE Manager, Host-Pathogen Interactions Head of HOPE, Research Officer
Paris, Faculty of Pharmacy

UMR Merit teams

Brigitte

Brigitte TECHER

GECO Manager Head of UMR administration, Head of GECO, Research engineer
Paris, Faculty of Pharmacy
Nicolas ARGY

Nicolas ARGY

HOPE Manager, Host-Pathogen Interactions University lecturer-hospital practitioner
Paris, Faculty of Pharmacy