SSACAB Kicks Off Two-Week ADVANCED MACHINE LEARNING & LARGE LANGUAGE MODELS IN HEALTHCARE
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The Sub-Saharan Africa Consortium for Advanced Biostatistics Training (SSACAB), in collaboration with the Wits School of Public Health and University Medical Center Utrecht (UMC Utrecht), has launched a two-week short course on Advanced Machine Learning in Healthcare and Large Language Models (LLMs) in Healthcare at Wits University, Johannesburg.
The course brings together researchers, biostatisticians, and data scientists from across Africa and partner institutions to strengthen their understanding of how modern machine learning methods are transforming healthcare. Over two intensive weeks, participants will gain both theoretical grounding and practical experience — from supervised and unsupervised learning, neural networks, and regularisation methods, to evaluating classifiers, handling high-dimensional data, and applying models to real clinical datasets. Participants will leave the course equipped to implement and fine-tune pretrained models, interpret results, and critically assess the ethical and regulatory challenges of AI in health.
This initiative forms part of SSACAB’s ongoing commitment to advancing biostatistics and data science capacity in Africa. We aim to build the technical and analytical skills needed for an AI-driven future in health research and practice. 13–24 October 2025, Wits University, Johannesburg
In partnership with UMC Utrecht and the Wits School of Public Health
Participants from across Africa and partner institutions, including the Wits School of Public Health and University Medical Center Utrecht — gathered at Wits University for the opening of the Advanced Machine Learning and Large Language Models in Healthcare short course. A heartfelt thank you to the facilitators, Prof Ruurd Kuiper, Prof Eustasius Musenge, Dr Awol Seid Ebrie, Dr Okechinyere Achilonu and Samuel Chikasha