Morroco
Hub: University Mohammed V in Rabat, Morocco
Title: Applications of AI for early diagnosis of tuberculosis and prediction of drug resistant Mycobacterium tuberculosis strains
Team Members
Yahya Tayalati
Director
Mohammed-Amine KOULALI
Team Member
Imane Chaoui
Team Member
Rachid El Fatimy
Team Member
Abdelouahed Fatimy
Team Member
Jamaleddine Bourkadi
Team MemberMoussa Bdellilah
Team Member
Benaini Redouane
Team MemberSaint-Jean jungu
Team Member
Onesime Mbulayi
Team Member
Othmane Bouhali
Team Member
Bruce Mellado
Team Member
Abdou Azaque Zoure
Team MemberAkti Paizanos Loukia
Team MemberGeneral Objectives
The primary objective of this research is to leverage the potential of AI techniques to improve the early detection, prediction of drug resistance, and monitoring of MTB strains circulating in countries like Morocco, South Africa, Burkina Faso, and the Democratic Republic of Congo.
Specific Objectives
1. To explore the potential of machine learning algorithms in identifying patterns and predicting TB outcomes using patient data.
2. To explore the potential of machine learning algorithms to early diagnosis of TB to differentiate latent TB from a TB disease.
3. To develop new AI-based approaches for TB detection and treatment guidance in resource-limited settings such as Morocco, Burkina Faso, South Africa, and the DRC, one potential strategy is the use of artificial intelligence to screen and interpret chest radiographs for imaging features of active pulmonary TB.
4. To assess the effectiveness of these new approaches in real-world contexts, including their ability to accurately diagnose drug resistant TB strains, especially severe forms of TB that require a long follow up .
5. To establish a real-time monitoring system for TB spread in multiple countries, including Morocco, South Africa, Burkina Faso, and the DRC, using AI tools. This system will provide healthcare providers with up-to-date information to facilitate quick and effective responses to outbreaks and better understand the transmission dynamics of TB in these communities.