Category: Uncategorized
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PRECISE 2.0
Join us this weekend, 30 August – 2 September, for an inspiring two-day conference, the 2nd Annual PRECISE Symposium. Theme: “Patient-Centred Digital Innovations for Transformative Cancer Diagnosis and Treatment Access in Africa.” Program HighlightsAugust 30 | Community Engagement Day (Kubwa): Breast cancer education, free screenings, nutrition demonstration, and survivor testimoniesSeptember 1 | Pre-Conference Workshop (NICRAT,…
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Join MAILAB’s Internship Program 2025
Are you a young Nigerian interested in applying Technology to Healthcare? Do you want to gain hands-on, relevant skills that will enable you to develop innovative Artificial Intelligence solutions in the healthcare field? Do you want to join a network of healthcare innovators across Africa? The Medical Artificial Intelligence Laboratory (MAI Lab) invites interested candidates…
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Understanding the computational models for dense correspondence matching – Rohit Jena– COMPASS August 2025
Title Understanding the computational models for dense correspondence matching Speaker Bio Rohit Jena is a Ph.D. candidate in Computer and Information Science at the University of Pennsylvania, where he is co-advised by Professors James C. Gee and Pratik Chaudhari. His research focuses on developing and unraveling the nature of task-specific, self-supervised representations for correspondence matching problems,…
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AI & neuroimaging for the computer-aided diagnosis of neurodegenerative diseases – Dr Ninon Burgos– COMPASS July 2025
Title: AI & neuroimaging for the computer-aided diagnosis of neurodegenerative diseases Speaker Bio: Ninon Burgos is a CNRS researcher at the Paris Brain Institute, co-head of the ARAMIS Lab, and a fellow of PR[AI]RIE, the PaRis Artificial Intelligence Research InstitutE. She completed her PhD in 2016 at University College London. In 2019, she received the ERCIM…
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Multi-organ CT and PET quantification via whole body CT segmentation using the Automated On-site Data Analysis Facilitation Suite – Prof Faisal Beg – COMPASS June 2025
Title: Multi-organ CT and PET quantification via whole body CT segmentation using the Automated On-site Data Analysis Facilitation Suite Speaker Bio: Dr. Mirza Faisal Beg is a Professor in the School of Engineering Science at Simon Fraser University, and the Chief Executive and the Chief Scientific Officer of Voronoi Health Analytics Inc., located in Vancouver,…
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Join MAILAB as a paid intern 2025
Are you a young Nigerian interested in applying Technology to Healthcare? Do you want to gain hands-on relevant skills that will enable you to develop innovative Artificial Intelligence solutions in the healthcare field? The Medical Artificial Intelligence Laboratory(MAI Lab) invites interested candidates to apply for a 6-month, full-time, paid internship program. Requirements Extra Skills(If you…
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Exciting Opportunity: Applications Open for SPARK Academy 3.0! 🌟
Are you passionate about AI and transforming healthcare in Africa? Don’t miss this chance to join the prestigious SPARK Academy for deep learning and medical imaging! 🚀 Program Highlights: Why Join? Enhance your skills, collaborate with experts, and contribute to reshaping healthcare in Africa. This program is designed to empower the next generation of leaders…
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SPARK 3.0 is here!!
Join the SPARK Academy Team as a Program Coordinator! 🌟 Are you passionate about AI and medical imaging? Do you want to contribute to shaping the future of AI in Africa? Here’s your chance to make an impact! 🚀 SPARK Academy 2025 is calling for volunteer Program Coordinators to join its mission of advancing deep…
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CHEWs Trained on POCUS for Breast Screening to Enhance Early Detection in Communities
In a groundbreaking effort to improve breast cancer early detection in underserved communities, Community Health Extension Workers (CHEWs) have been trained in the use of Point-of-Care Ultrasound (POCUS) technology for breast screening. This initiative which happened on the 27th of September, marks a significant step toward equipping primary healthcare providers with advanced diagnostic tools to…
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Towards Fairness & Robustness in Machine Learning for Dermatology – Celia Cintas – COMPASS September 2024
Title: Towards Fairness & Robustness in Machine Learning for Dermatology Abstract: Recent years have seen an overwhelming body of work on fairness and robustness in Machine Learning (ML) models. This is not unexpected, as it is an increasingly important concern as ML models are used to support decision-making in high-stakes applications such as mortgage lending, hiring, and diagnosis in…