Author: ritafitchett

  • Global AI Summit

    Global AI Summit

    The Centre for the Fourth Industrial Revolution and the Ministry of ICT & Innovation, in collaboration with the World Economic Forum, hosted the inaugural Global AI Summit on Africa in Kigali, Rwanda under the theme: “AI and Africa’s Demographic Dividend: Reimagining Economic Opportunities for Africa’s Workforce.”

    The Grand Challenges Senegal Team, and our awardees had the opportunity to attend the Summit on April 3rd  and 4th.

    The summit was an inspiring gathering that brought together visionary leaders from diverse sectors, all united by a shared mission: harnessing the power of AI to shape the future of global health and development.

  • Grand Challenges AI Community Convening

    Grand Challenges AI Community Convening

    On April 1st and 2nd, the Grand Challenges Senegal team, alongside our awardees and our partners (Grand Challenges Canada and the Pasteur network), had the incredible opportunity to connect with fellow members of the Grand Challenges Network. These two days were rich in collaboration, knowledge exchange, and forward-thinking discussions.

    We kicked off on April 1st with a dynamic, hands-on workshop focused on the role of Artificial Intelligence in advancing global health, an engaging session hosted by GC Network partners. The following day, we joined the GC AI Community of Practice for deep, meaningful dialogue around innovation and problem-solving. The energy was palpable, with participants fully present, curious, and eager to learn from one another.

    The experience reaffirmed just how valuable these face-to-face gatherings are. A heartfelt thank you to our gracious hosts, the Gates Foundation and Axum, for creating such a thoughtful and inspiring space.

  • The Village: AI-Driven Global Health Collaboration and Decolonization Platform

    The Village: AI-Driven Global Health Collaboration and Decolonization Platform

    Central African Republic | Global health | AI collaboration network

    The Village platform uses AI to connect healthcare professionals and organizations worldwide, fostering equitable collaboration and mentorship in global health. By promoting resource-sharing and cross-border networking, The Village seeks to democratize access to healthcare knowledge and accelerate advancements in underserved regions.

  • GALSEN DEEP VISION – AI for Early Detection of Strabismus in Children

    GALSEN DEEP VISION – AI for Early Detection of Strabismus in Children

    Senegal | Pediatric health | AI diagnostic app

    GALSEN DEEP VISION, a mobile application powered by AI, detects strabismus in children by analyzing facial images for angular deviations. This tool will allow parents and healthcare providers to identify early signs of strabismus, ensuring timely interventions and expanding access to pediatric eye care in underserved areas.

  • Ma Santé Au Quotidien (MSAQ) – AI-Enhanced Health Advice for Community Health Workers

    Ma Santé Au Quotidien (MSAQ) – AI-Enhanced Health Advice for Community Health Workers

    Senegal | Community Health | AI Conversational Agent

    MSAQ is an AI-driven chatbot that provides community health workers with reliable health information on maternal health, infectious diseases, and more. Utilizing an offline knowledge base, MSAQ will enable health workers to respond with contextualized, verified advice, bridging information gaps and enhancing patient care in remote areas.

  • Early Detection of Liver Fibrosis Using Deep Learning

    Early Detection of Liver Fibrosis Using Deep Learning

    Senegal | Liver Health | AI-Based Diagnostics

    To tackle the late diagnosis of liver fibrosis due to Hepatitis B, this project leverages deep learning to create a cost-effective, non-invasive diagnostic tool. Designed to function in low-income settings, the AI model will enhance early detection capabilities, aiming to improve access to timely diagnostics for affected populations across West Africa.

  • Modeling and Monitoring Cardiovascular Health Through Family-Centered Data

    Modeling and Monitoring Cardiovascular Health Through Family-Centered Data

    Senegal | Cardiovascular Health | Family-Centered Health Model

    This project promotes a household-centered approach to cardiovascular health, collecting data on lifestyle and environmental factors. Through a health and environment barometer, it will identify family-based cardiovascular risks and encourage family involvement in health decisions, ultimately enhancing adherence to preventive health measures and improving outcomes.

  • Multilingual Health Communication Chatbot for Fulfulde-Speaking Communities

    Multilingual Health Communication Chatbot for Fulfulde-Speaking Communities

    Cameroon | Health Literacy | AI Chatbot Technology

    Focused on Fulfulde-speaking communities, this project utilizes AI to develop a multilingual chatbot delivering real-time health information in local languages. Equipped with offline capabilities, the chatbot will facilitate a better understanding of health topics, aiming to enhance health literacy and lower health risks for communities with limited internet access.

  • Transforming Healthcare Education: AI-Powered Access to Clinical Guidelines and SOPs

    Transforming Healthcare Education: AI-Powered Access to Clinical Guidelines and SOPs

    Senegal | Healthcare education | AI-driven training

    This innovation incorporates Large Language Models into the Medical Learning Hub (MLH), TC4A’s specialized e-learning platform designed for healthcare providers, to generate personalized assessment questions based on clinical guidelines. This tool enhances comprehension of SOPs among healthcare professionals, improving adherence to healthcare standards. By ensuring ongoing professional development, the project will strengthen the skills of healthcare workers across Francophone Africa.

  • AI-Driven Patient Intake System for Primary Healthcare

    AI-Driven Patient Intake System for Primary Healthcare

    Senegal | Primary healthcare | AI-based triage

    Addressing challenges in patient intake, Haskè Health is implementing an AI-powered system to improve triage accuracy and reduce wait times in Senegal’s primary healthcare facilities. By using a Medical Large Language Model to assess symptoms and prioritize care, the project will enhance patient experiences and alleviate healthcare provider workloads.

Contact us:
grandchallenges.senegal@pasteur.sn