The DSTN Thematic Workshop is a series of half-day meeting gathering the members of our network and invited external partners to discuss around a scientific topic (Big Data and, Trusted Artificial Intelligence, IoT and SDN in poorly connected areas, Cybersecurity, High-Performance Computing, and Data Science) or an application domain (e-Health, e-Agriculture, e-Education, e-Environment, Smart City). It allows identifying strengths and complementarity of the partners on each topic, promoting networking and collaboration to apply for the DSTN call for Research-Team and other calls for funding, identifying lecture and training needs and opportunities for the ACEs.
About the Digital Science for Health Thematic Workshop:
This workshop is focused on highlighting our network scientific results, innovation and ongoing projects on the Health domain. Our special guest is the West African Network for Infectious Diseases ACE (WANIDA).
Session chair : Dr. Gaoussou Camara, DSTN Coordinator, email@example.com
09.00 – 09.05
Opening DSTN Leader
09.05 – 09.20
Presentation of the Digital Science and Technologie Network (DSTN)
Prof. Maissa Mbaye, firstname.lastname@example.org
09.20 – 09.35
Presentation of the West African Network for Infectious Diseases ACE (WANIDA)
Ms Olivia R Koupaki, email@example.com
09.35 – 09.55
Title: Development of Cloud and Mobile Health Apps for the Federated Genomic (FEDGEN) Platform
Speaker: Dr. Joke Badejo, CApIC ACE, firstname.lastname@example.org
Abstract: Sub-saharan Africa has hitherto been burdened with multiple health issues, such as perennial malaria and the emerging epidemic of breast cancer for women, and prostate cancer for men. These health issues are not properly tackled due to the paucity of applications that are built using indigenous genomics (and other “omics”) datasets that underlie these diseases. One of the specific aims of CApIC-ACE in the ACE Impact project is the development of Federated Genomics (FEDGEN) cloud computing infrastructure (i.e. datacenter) to bring home genomic based research and development to the African populace. Hinged on the unique partnership between CApIC-ACE and CEA-MITIC (with their academic and industry partners), this development project aims to design, develop and deploy cloud and mobile apps with integrated edge AI-based services for disseminating health information related to malaria, breast and prostate cancer on the FEDGEN platform. These apps will also contain a module for curating, archiving and accessing of datasets for research and education. Consequently, this project will culminate in apps deployment and commercialisation; and capacity building via internships, joint students’ supervision and postgraduate degrees.
Bio: Dr. Joke Badejo received the B.Tech. degree from Ladoke Akintola University of Technology, Nigeria, in 2003, the M.Eng. and Ph.D. degree from Covenant University, Nigeria in 2007 and 2015 respectively; all in Computer Engineering. She is currently an Assistant Professor in the Department of Electrical and Information Engineering at Covenant University, Nigeria. During her Ph.D., she received the International Association for Pattern Recognition and MORPHO grant in 2012 for Biometrics training and was also a Visiting Student at Biomedical Signal Analysis Laboratory in Clarkson University, Potsdam, NY, USA in 2015. Her research interests include Biometrics & Biomedical Image Analysis, Machine Learning, Data Analytics, Software Engineering. She currently leads the Data Analytics team which supports data-driven decision making in Covenant University. She is a member of a number of professional bodies such as the Council for the Regulation of Engineering in Nigeria (COREN) and Institute of Electrical and Electronics Engineers (IEEE). Joke enjoys being an academic and loves contributing impactful and cost-effective solutions to prevailing societal engineering problems in Africa.
09.55 – 10.15
Title: Genetic and Environmental COntributions to Malaria prevalence in SEnegal and Côte d’Ivoire
Speaker: Dr. Seydou Nourou Sylla, ACE MITIC, email@example.com
Abstract: This project participates in the implementation of methods and tools for statistical analysis of environmental, climatic and genetic data and their associations with epidemiological and parasitological data, while guaranteeing the validity and reliability of the results, in a context of non-independent repetitions of observations for the same subject. Indeed, in the African population, there are fairly strong kinship ties and the longitudinal monitoring carried out for several years in the study areas has made it possible to acquire repeated and correlated observations that must be taken into account. In addition to these problems, this project will take into account the environmental and climatic specificity of African countries in the diagnosis of infectious diseases which is an important aspect in current research.
Bio: Dr. Seydou Nourou Sylla holds a PhD in applied mathematics, specialized in machine learning and big data, at the University Gaston Berger of Saint-Louis in Senegal. He is an external consultant within the West African Health Organization. Dr. Sylla was a postdoctoral fellow at the Pasteur Institute of Dakar, within the G4-BBM group. Within this group, he worked on Machine Learning and Big Data on genetic, epidemiological and environmental data. Dr. Sylla worked in the Modelling and Inference of Complex and Structured Random Phenomena (MISTIS) project team at the Institut Nationale de Recherche en Informatique et Automates (INRIA) of Grenoble in France. He was also a statistician-modeler at the Research Unit on Emerging Infectious and Tropical Diseases (URMITE) of the Research Institute for Development (IRD) of Dakar in Senegal.
10.15 – 10.35
Title: Predicting Heart Disease with Multiple Classifiers
Speaker: Mr Charly Gnoguem, ACE SMIA, firstname.lastname@example.org
Abstract: Heart disease is one of the leading causes of morbidity and mortality in the world. About 18 million people die of heart disease every year. Given that data is generated daily by several sources and in various formats, its timely, accurate, and cost-efficient prediction is imperative for clinical reforms. Machine Learning is reputable for its effectiveness in the prediction of heart disease by use of medical data. The complex correlations present in medical datasets increases the complexity of predicting heart disease. In this paper, a novel hybrid technique is proposed to improve the prediction of heart disease. The focus of this method is on the reduction of false negatives for the betterment of patient care. The proposed method assigns weights to four classifiers, each built with one of the four reputable algorithms – Decision Tree, Random Forest, K-Nearest Neighbor, and Logistic Regression. The final class of a new instance is predicted by the maximum weighted sum of predictions from the classifiers. This method is compared with already existing methods, and an improvement in accuracy (92.10%) and sensitivity (94.59%) and a drastic reduction in false negatives are observed with the Cleveland dataset.
Bio: Charly N. Gnoguem is a senior student at the University of Abomey-Calavi and currently taking up a doctorate in Artificial Intelligence. As an artificial intelligence student, he has trained to perform highly in connected fields like machine learning, deep learning, big data analysis and management, business intelligence, and multi-agent systems. He studied computer engineering at the undergraduate level after which he has been working with several companies as a software consultant. In 2018, he took up an MSc in Information Systems at the institute of mathematics and physics (IMSP-UAC).
10.35 – 10.55
Title: COVID-19 – A GLOBAL pandemic requiring LOCAL solutions
Speaker: Dr. Yaw Bediako, ACE WACCBIP, email@example.com
Abstract: Since December 2019 SARS-CoV-2 has infected over 8.2 million and killed over 442,000 people in over 160 countries around the world. After a relatively slow start, the number of cases in Ghana (and indeed much of Africa) have begun to increase rapidly with 30% of total cases and deaths so far reported. Socio-economic realities have made blanket lockdown (shelter-in-place) policies difficult to enforce. Community spread is occurring and will likely continue. Despite some efforts by the government, the general public remains poorly informed about COVID-19 and adherence to public health protocols has been mixed. Large segments of population are also mistrustful of government as there is a perceived lack of transparency in how data has been handled. Our research aims to provide a real-time, intuitive, publicly accessible data platform that provides insights into the transmission dynamics and patterns of the SARSCOV-2 epidemic in Ghana, which can be used both to direct national public health strategy, but also community-based engagement and responses.
Bio: Dr. Yaw Bediako is an immunologist with broad interest in investigating immune function among African populations to better address immunopathology associated with infectious and non-infectious diseases among these populations. Following the completion of a PhD at Northwestern University in Chicago, Dr. Bediako completed post-doctoral fellowships at the KEMRI-Wellcome Trust Programme in Kenya and at the Francis Crick Institute in London, which were focused on understanding the immunological mechanisms by which immunity to Malaria is naturally acquired and maintained. As a Research Fellow at the West African Centre for Cell Biology of Infectious Pathogens (WACCBIP) in Accra, Ghana, Dr. Bediako’s research group is currently working on projects that include: Exploring the mechanisms underlying the acquisition of naturally acquired immunity to malaria; Identifying immune predictors of HPV-associated cervical cancer progression in the context of HIV infection; Investigating the mechanisms of cellular and humoral immunity to SARS-CoV-2 infection among African populations. He is currently a Crick African Network fellow, a member of the eLife Early Career Advisory Group, an Affiliate member of the African Academy of Sciences, and Lead for the African Science Initiative, an online networking platform for young African scientists.
10.55 – 11.15
Title: The WHO regional COVID-19 operational platform for West and Central Africa (WCA)
Speaker: Dr. Mamadou Diallo, ACE-partner, firstname.lastname@example.org
Abstract: The WHO regional COVID-19 operational platform for West and Central Africa (WCA) supports, coordinates and catalyzes the response to the epidemic. Its working groups include the Operational Research Group, coordinated by IRD and WHO. It aims to improve the response to the covid-19 pandemic in the WCA region by integrating operational research through the engagement of research operators, information exchange on ongoing and future research, and knowledge transfer. During my presentation I will talk about the context of the creation of the operational research group, its objectives, its achievements and the importance of its collaboration with African Centers of Excellence.
Bio: Dr. Mamadou Diallo is the Scientific Coordinator of the Operational Research Group, WHO COVID Platform for West and Central Africa. He is a member of the ACE-partner project and affiliated at the French Research and Development Institute (IRD) in Dakar. His work has focused on the immunology and epidemiology of infectious diseases including malaria, HIV, sexually transmitted infections, and covid-19. Among other projects carried out, Dr Diallo has contributed to the creation of the WHO COVID Platform for West and Central Africa https://www.ird.fr/covid-oms-aoc, the use of early HIV treatment as a method of prevention among sex workers in Benin, West Africa.
11.15 – 11.55
Discussions and Networking
11.55 – 12.00
DSTN Leader (5min)
18 décembre 2020, 9:00-12:00 UTC (3h)