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  • Plenary Session: Data Science for Early Detection, Risk Prediction & Improved Disease Diagnosis


    Facilitator(s)

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    Dr Gaone Retshabile

    DSpace: Utilizing Data Science to Predict and Improve Health Outcomes in Pediatric HIV

    Gaone Retshabile is a lecturer in the molecular, cell and microbiology cognate areas in the Department of Biological Sciences at the University of Botswana. His research interests are in HIV host genomics, HIV-TB co-infection, non communicable co-morbidities associated with HIV. He has a passion for capacity development.

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    Prof Kristen Stafford

    Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa

    Dr. Stafford is an infectious disease epidemiologist with 25 years of experience in the design, implementation, and evaluation of domestic and international HIV care and treatment programs. Domestically she directly implemented Ryan White funded programs as well as served as the Deputy Program Manager and Manager of the Continuous Quality Improvement Program for the Ryan White Part A Program for the Baltimore EMA. Internationally, she served for six years as Director of the Outcomes and Evaluation Program at the Institute of Human Virology - University of Maryland School of Medicine for an eight country, 240 clinic, 700,000 patient HIV care and treatment program funded through the President's Emergency Plan for AIDS Relief. Dr. Stafford has designed and implemented multi-country education and training programs for the integration of monitoring and evaluation and continuous quality improvement programs into HIV programs and served as co-lead author for the WHO guide to implementing quality improvement programs in resource-limited settings. Dr. Stafford's methodological expertise includes complex study design, analytical methods used evaluate patient and program outcomes, immunologic response to antiviral therapy among HIV infected patients, treatment toxicity, retention in the care cascade, and large cohort development and analysis. Her primary research focuses on the epidemiology of aging in the presence of HIV infection and how age is associated with differences in HIV treatment outcomes in resource limited settings with particular focus on immune system recovery and the development of treatment related toxicity and side effects. Dr. Stafford has expertise in advanced epidemiological methods for infectious disease research and serves as the Director of Clinical Research Education Programs in the Department of Epidemiology and Public Health. She is the Associate Director of the Center for International Health, Education, and Biosecurity at the University of Maryland Baltimore.

    Speakers

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    Mr Rogers Mwavu

    MUDSReH: MUST Data Science Research Hub

    MUST Data Science Research Hub

    Mwavu Rogers is Bsc.IT, MSc.IS, MSc.HIT, Professional Certificate (Global Health Informatics to Improve Quality of Care)-MIT, Modeling and Optimization for Machine Learning-MIT, Geographic Information Systems (GIS) for Global Health-KIT, Implementation Science for Health data science Projects and PhD Scholar-MUST is an innovative software developer with a diverse skill set and creative drive for software application development. I am proficient at designing and formulating test automation frameworks, writing code in various object-oriented programming languages, and feature development and implementation. I specialize in developing medical solutions that improve access to the quality of healthcare services for underserved populations. I am also adept at collecting, analyzing, and interpreting large datasets and developing new forecasting models in a variety of public and private domains. My research interests involve building large medical databases integrated with data from multiple sources and developing algorithms that predict disease progression or monitor the treatment effect of specific clinical procedures to support clinical research in low-resource settings. My academic training as an information systems developer and a systems analyst and research experience at Mbarara University of Science and Technology has provided me with a background in software application development, including mobile health technology and clinical research. I also have a strong history of teaching and mentorship. As an educator, I work with the Faculty of Computing and Informatics of MUST with a specific interest in Object-oriented programming languages, Artificial Intelligence (AI) and Machine Learning. I am in charge of undergraduate research in the Faculty of Computing and Informatics of MUST and also a member of the software incubations and innovations unit at MUST, where I head an undergraduate and graduate research programming group that develops technology for management, analysis, machine learning, deep learning and sharing of large health informatics, biomedical and environmental datasets. I have done consultancy work with international organizations such as UNFPA (worked as a Software Developer/Consultant in the Getin Project) and am a co-organizer of two International

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    Dr Kayode Adentunji

    MADIVA: Multimorbidity in Africa: Digital innovation, visualisation and application

    Multimorbidity in Africa: Digital innovation, visualisation and application

    Kayode Adetunji obtained his Master's degree in Electrical Engineering in 2018 from the University of Johannesburg, South Africa, and went on to receive his PhD in 2022 from the School of Electrical and Information Engineering at the University of the Witwatersrand. He focused on enhancing power systems networks by incorporating renewable energy sources, battery systems, and electric vehicles during his studies. To achieve this, he utilized optimization algorithms and machine learning techniques, resulting in several publications in highimpact journals. He has also developed monitoring systems for health- and agriculture-related fields. Kayode worked in the Fast-moving consumer goods industry, repairing electrical drives and microcontrollers of electric forklifts before joining the Department of Electrical Engineering Technology at the University of Johannesburg. He is currently with the MADIVA team at Sydney Brenner Institute for Molecular Bioscience, and his current research interests include intuitive machine learning models, optimization algorithms, decision theory & preference aggregation, multi-objective optimization, intuitive machine learning models, and health-energy nexus.

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    Prof Chichom Mefire

    Data Science Can be Game Changing for Injury Outcomes: Perspectives from D-SINE Africa.

    Harnessing Data Science to Promote Equity in Injury and Surgery for Africa

    Mefire Alain Chichom is a Professor of General Surgery from the South-West Region of Cameroon in Central and West Africa. He served as the Head of Department of Surgery for 8 years and currently serves as the Vice-Dean in charge of Research and Cooperation at the Faculty of Health Sciences, University of Buea. Professor Chichom-Mefire has oriented his professional and research career towards contributing to reducing the burden of injuries in sub-Saharan African countries, addressing the problem of inequities of access to surgical care and global access to quality surgery and anesthesia. He has authored over 85 scientific articles published in renowned peer-reviewed journals. His research work is focused on improving the care of the injured, standardizing the management of abdominal sepsis, advocating for the fight against antimicrobial resistance and implementing surgery quality improvement programs with specific focus on trauma. Prof. Chichom-Mefire is a member of the International Society of Surgery (ISS-SIC) since 2009. He also serves as the representative for Africa of the International Association of Trauma Surgery and Intensive Care (IATSIC). He is also a member of the Alliance for Surgery and Anaesthesia Presence (ASAP) and a member of the editorial board of the World Journal of Surgery. He is the Co-Director of the Program for the Advancement of Surgical Equity (PASE) based in the University of California, Los Angeles (UCLA). He currently runs two NIH/Fogarty International Center funded research grants under the University of Buea.

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    Dr Tinashe Chikowore

    BCX-Africa: Utilizing data science to evaluate the applicability of blood cell traits polygenic risk scores for disease prediction in Africa

    BCX-Africa: Utilizing data science to evaluate the applicability of blood cell traits polygenic risk scores for disease prediction in Africa

    Dr Tinashe Chikowore is an Investigator in the Channing Division of Network Medicine and the Genetics Division at Brigham Woman’s Hospital and an Instructor of Medicine at Harvard Medical School. His research focuses on the application of genetics, Omics, and machine learning to nutrition-based and complex disease research. He is a recipient of a prestigious Wellcome Trust International Training fellowship that focuses on characterizing gene-lifestyle interactions in African populations. Recently, he received the Charles Epstein Excellence in Human Genetics Award from the American Society of Human Genetics for an outstanding abstract submitted and presented during a plenary session.He is the current chairperson of the H3Africa CVD Working group.

    Rapporteur(s)

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    Ms Kerry Glover

    Multimorbidity in Africa: Digital innovation, visualisation and application

    Kerry Glover is a research project manager on the MADIVA project, based at the Sydney Brenner Institute for Molecular Bioscience (SBIMB) at Wits University, Johannesburg.

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    Ms Chelsea Tatchin

    UtiliZing health Information for Meaningful impact in East Africa through Data Science

    Chelsea Tatchin, MBA is a project manager at the University of Michigan in the Department of Learning Health Sciences. She supports the UZIMA-DS Hub. Her background is in pre-award and post-award administration and finance at both the University of Michigan and Vanderbilt University Medical Center. Chelsea brings administrative expertise to her role in supporting Dr Waljee’s team since 2022. Some of her interests are operational efficiency and upscaling those around her. She is excited to support global health outcomes through UZIMA-DS.