As part of the DS-I Africa Symposium, this session addressed emerging opportunities and challenges in the application of Data Science and Informatics technologies in various biomedical domains. It also highlighted some key challenges in the areas of data mining, data quality, standards for various types of data, in addition to addressing how cutting-edge data analytics, predictive modeling and Machine Learning, and methods for simulations can advance human health in Africa.
Darrell Hurt, National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH)
Geetha Senthil, National Institute of Mental Health, NIH
Abdoulaye Banire Diallo, University of Quebec-Montreal (UQAM)
Elaine Nsoesie, Boston University
Geoffrey Siwo, University of Notre Dame
Dina Machuve, Nelson Mandela African Institution of Science and Technology
Moustapha Cisse, Google AI