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Exhibitor's Name
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Project/Organization
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How does your project/organization drives impact through strategic
partnerships
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What makes showcasing your work at the Data for Health in Africa
Meeting and the 5th DS-I Africa Consortium Networking Exchange a
must for your organization?
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Poster Board Number
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| Aminkeng Leke |
Artificial Intelligence assisted echocardiography to facilitate
optimal image extraction for congenital heart defects diagnosis in
Sub-Saharan Africa
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Health Research Foundation (HRF), Buea, Cameroon is leading a
NIH-funded research initiative under grant number 1U01HL172179-01,
as part of the DS-I Africa (Data Science for Health Discovery and
Innovation in Africa) network. Our work currently spans Cameroon
and South Africa, where we are addressing the urgent challenge of
under-5 mortality caused by congenital anomalies
(CAs)-specifically congenital heart defects (CHDs), which account
for roughly one-third of all CAs. In Sub-Saharan Africa (SSA), CHD
diagnosis is hindered by late or missed detection due to a lack of
trained professionals capable of performing and interpreting
echocardiograms. While pulse oximetry screening in newborns is
becoming more common, it remains nonspecific and still requires
confirmation through echocardiography-services often located far
from birthing centers. This imposes financial and logistical
burdens on families and risks the health of fragile neonates. Our
project leverages partnerships with local healthcare institutions,
clinicians, data scientists, and academic centers in both
countries to develop an AI- and data science-based solution. We
are equipping non-expert healthcare providers (e.g., nurses,
midwives, general practitioners) with tools and training to
capture high-quality echocardiography images of neonates. These
images are then transmitted to remote experts for diagnosis,
removing the need for long-distance travel and enabling timely,
decentralized care. Partnerships are integral to every aspect of
our work-from co-developing AI models and clinical protocols to
building capacity and ensuring cultural and infrastructural
relevance. Training remains a key component, but our approach uses
technology to make those gains sustainable, even in the face of
staff turnover. This project not only enhances early diagnosis and
access to care in Cameroon and South Africa, but also lays the
groundwork for future expansion to prenatal screening and
predictive modeling of CHDs, further strengthening early detection
and care delivery across the region.
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Exhibiting at the Data for Health in Africa Meeting and the 5th
DS-I Africa Consortium Meeting Networking Exchange is a valuable
opportunity for the Health Research Foundation (HRF), Buea,
Cameroon, as it aligns directly with our mission to advance health
equity in Sub-Saharan Africa through innovative, data-driven
solutions. This platform allows us to showcase our NIH-funded
research initiative (1U01HL172179-01), which addresses the
critical gap in early diagnosis of congenital heart defects (CHDs)
in newborns using artificial intelligence and data science tools.
As part of the DS-I Africa network, we see this event as an
important space to share our progress, exchange insights, and
learn from other pioneering teams across the continent. Most
importantly, we are looking forward to building meaningful
collaborations-with researchers, clinicians, data scientists,
policymakers, and technology partners-that can accelerate the
impact of our work in Cameroon, South Africa, and beyond. We are
also excited about the chance to see real-world applications of
data science in health and to explore potential pathways for
scaling our AI-assisted diagnostic tools across more regions in
Africa. Participating in this meeting not only strengthens our
visibility within the consortium but also reinforces our
commitment to collaborative, cross-border health innovation that
responds to local challenges with sustainable and scalable
solutions.
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Poster board Number 4 |
| Gloria Kirabo |
BCX-Africa: Utilizing data science to evaluate the applicability
of blood cell traits polygenic risk scores for disease prediction
in Africa
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Our organization is engaged in genomic and bioinformatics research
across Africa, with a current focus on leveraging existing genomic
data on blood cell traits from H3Africa and other initiatives.
Through the BCX-Africa project, we aim to apply data science
approaches to uncover novel genetic associations and evaluate the
utility of polygenic risk scores (PRS) for disease prediction in
individuals of African ancestry. Our work relies on strong
partnerships to enable access to diverse datasets, foster
collaborative analyses, and support capacity building
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Exhibiting at the Data for Health in Africa Meeting and the 5th
DS-I Africa Consortium Meeting is a valuable opportunity for our
organization to share our ongoing work on blood cell traits and
polygenic risk score development in African populations. It offers
us a platform to highlight the relevance of data science and
genomics in improving health outcomes on the continent. We are
particularly looking forward to connecting with other researchers,
data scientists, and policymakers to exchange ideas, explore
potential collaborations, and learn from innovative approaches in
federated data analysis and genomic medicine. This networking
exchange aligns with our goal of building sustainable, Africa-led
research partnerships that support data-driven healthcare
solutions
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Poster board Number 6 |
| Handsome Bongani Nyoni |
CHaracterizing Effects of Air Quality In Maternal
|
The CHEAQI-MNCH Research Project is a multidisciplinary initiative
focusing on characterizing the effects of ambient air quality on
maternal, newborn, and child health outcomes across Sub-Saharan
Africa. Our organization operates at the intersection of
environmental health, geospatial science, and public health
policy. We collaborate closely with academic institutions,
governmental agencies, and international health consortia to
integrate geospatial data analytics and air pollution exposure
modeling into maternal and child health research. This partnership
approach facilitates evidence-based interventions and capacity
building within African health and environmental sectors.
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Exhibiting at the Data for Health in Africa Meeting and the 5th
DS-I Africa Consortium Meeting is critical for disseminating the
latest research insights and methodological advancements in
environmental exposure assessment relevant to maternal and child
health. It provides an invaluable platform to engage with diverse
stakeholders, including researchers, policymakers, and data
scientists, fostering multidisciplinary collaboration. We look
forward to sharing our innovative approaches to air pollution
exposure modeling, discussing challenges in data integration, and
exploring synergies to advance health outcomes across the
continent.
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Poster board Number 13 |
| Tamara Govindasamy |
CHaracterizing Effects of Air Quality In Maternal
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CHEAQI MNCH is a multi disciplinary project, we have partners in
Zimbabwe and South Africa. We collaborate with other DS-I partners
like eLwazi.
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This opportunity will allow our team to present progress on our
indicator development and receive feedback on the approaches we
are following. We would like to network with research hubs who
have similar research questions, with the possibility to extend
our collaborations. We are looking forward to receiving input on
the associations we are uncovering for African cities.
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Poster board Number 26 |
| Terence Darlington Mushore |
CHaracterizing Effects of Air Quality In Maternal
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We are a research laboratory (Place Alert) located within Midlands
State University.
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We are working on air quality and maternal, newborn and child
research. This will provide opportunity to present some of our
research products. The event will also present opportunity for
collaborations, data sharing and networking
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Poster board Number 27 |
| Inka Sastalla |
Combatting AntiMicrobial Resistance in Africa Using Data Science
(CAMRA)
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NIAID oversees a broad range of research awards it he area of
infectious diseases, some of which are of interest to attendees.
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We would like to provide participants the opportunity to interact
with NIAID staff and to learn about funding opportunity and
research tool available to the international community.
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Poster board Number 15 |
| Oshin Sharma |
Combatting AntiMicrobial Resistance in Africa Using Data Science
(CAMRA)
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Case Western Reserve University is a private university in USA.
Has research collaborations with DS-I Africa for designing,
testing and validating point-of-care tests for Anti-microbial
resistance proteins.
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To present our work on designing, testing and validating
point-of-care tests for Anti-microbial resistance proteins.
Looking forwards to gain insights from and networking with
people/organisations interested in collaboration.
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Poster board Number 23 |
| Adoma Odame |
Data Science for Child Health Now in Ghana (DS-CHANGE)
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HopeXchange Medical Centre is a non-profit, faith-based tertiary
healthcare institution located in Kumasi, Ghana. Our mission is to
provide high-quality, affordable, and compassionate healthcare to
underserved populations while promoting innovation in medical
education, research, and public health. Our work is inherently
collaborative, and partnerships form a vital part of our approach.
We actively engage with governmental agencies, academic
institutions, international NGOs, and community-based
organizations to deliver impactful health interventions. Through
these partnerships, we strengthen service delivery in areas such
as child health, infectious diseases, non-communicable diseases,
mental health, maternal and newborn care, and health systems
strengthening. We also serve as a clinical training site for
medical, nursing, and allied health students, in collaboration
with universities both locally and internationally. Our research
and quality improvement projects are often co-developed and
implemented with partner organizations to ensure sustainability
and relevance to local health needs. At HopeXchange, we believe
that meaningful partnerships enhance our capacity to innovate,
scale, and sustain health solutions that improve lives.
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This will offer my organization a collaborative opportunity.
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Poster board Number 1 |
| Irene Yeboah |
Data Science for Child Health Now in Ghana (DS-CHANGE)
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DS-CHANGE is a training program tailored at developing a cadre of
qualified data scientists focused on child health in Ghana through
graduate programs. Students undergo mentored training and
experiential learning that cross-sect biomedical data science
disciplines and biomedical domains.
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This is an opportunity to showcase my research on spatial
transcriptomics analyses and intercellular communication in liver
tissues infected with the Plasmodium parasite. The work I have
done is impactful
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Poster board Number 16 |
| Isabel Mensah |
Data Science for Child Health Now in Ghana (DS-CHANGE)
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Kwame Nkrumah University of Science and Technology (KNUST) is a
premier institution for science and technology in Ghana, dedicated
to advancing knowledge through teaching, research, and innovation.
As a center of academic excellence, KNUST trains professionals in
diverse fields and promotes technological advancement that
addresses national and global development challenges. Partnerships
are central to KNUST's mission. The University actively
collaborates with local and international academic institutions,
industry stakeholders, governmental agencies, and non-governmental
organizations. These partnerships enhance its research output,
promote student and faculty exchange, support curriculum
development, and drive innovation in key sectors, including
health.
|
Participating in the exhibition event at the Data for Health in
Africa Meeting and the 5th DS-I Africa Consortium Meeting
Networking Exchange provides an important platform to highlight
our current projects, engage with cutting-edge innovations, and
strengthen visibility within the broader health data science
ecosystem. Most importantly, we look forward to engaging with
potential collaborators-academic partners, researchers, and
funders -with whom we can build strategic alliances to co-create
impactful, locally relevant solutions.
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Poster board Number 17 |
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Poster board Number 18 |
| Pomaa Appiah |
Data Science for Child Health Now in Ghana (DS-CHANGE)
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Data Science for child Health Now in Ghana (DS-CHANGE) is a
training grant between University of Washington and Kwame Nkrumah
University of Science and Technology funded by NIH
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Exhibiting at this meeting provides a valuable platform for us to
connect with leading researchers, data scientists, public health
professionals, and policymakers across Africa. Our organization is
committed to leveraging data-driven approaches to strengthen
health systems, and this event aligns perfectly with our mission.
It allows us to showcase our ongoing work, and learn from others
who are equally passionate about using data to drive equitable and
sustainable health outcomes in Africa. We look forward to building
new partnerships, discovering collaborative opportunities, and
staying updated on the latest research and innovations.
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Poster board Number 25 |
| Yaa Adutwumwaa Obeng |
Data Science for Child Health Now in Ghana (DS-CHANGE)
|
As a health facility committed to delivering evidence-based
clinical care, our collaboration with the Data Science for Child
Health initiative has created valuable opportunities to strengthen
our research capacity. Through this partnership, our staff have
received training in health data curation, enhancing our ability
to generate and apply insights that improve child health outcomes
in Ghana.
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This is a valuable opportunity for our organization to connect
with leading minds and institutions advancing health innovation
across the continent. We are particularly eager to build strategic
networks, gain guidance to strengthen our emerging research unit,
and learn from real-world applications of data science across
various sectors of health. This platform offers a chance to share
our progress, learn from others, and explore collaborative
opportunities that can help us scale our impact in child and
community health in Ghana.
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Poster board Number 28 |
| Alimatu Salam |
Data Science for Child Health Now in Ghana (DS-CHANGE)
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My clinical expertise and frontline experience with paediatric
population particularly in oncology, chronic diseases and pain
management can guide meaningful data collection, interpretation
and application.
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I am looking at networking and partnership with data scientists at
the meeting in learning advanced analytics, AI/ML modelling and
systems optimisation tools to support and scale my work.
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Poster board Number 3 |
| Emmanuel Oppong |
Data Science for Child Health Now in Ghana (DS-CHANGE)
|
The Asamang SDA Hospital is one of the biggest and oldest health
facilities in the Ghana Adventist Health Services network,
providing primary care and specialised health services to over
50,000 patients every year. We have a growing Paediatric
Department that is developing a culture of continuous quality
improvement, building the competence of its highly-motivated staff
and expanding the capacity of our health facility through strong
partnerships. Though a member of the Christian Health Association
of Ghana (CHAG), our collaboration with the Ghana Health Service
and other implementing agencies of the Ministry of Health on key
health strategies helps us to serve the Sekyere South District and
six bordering districts. Our partnership with the KNUST and
SafeCare Programme has made us a beacon for QI improvement in
healthcare. Currently, our facility is on a journey with the
DSCHANGE project that is empowering us to curate the data from our
electronic health records and harness its potential to drive
research and quality improvement in child health. This partnership
highlights the immense benefits of the health sector intersecting
with academia, to drive our strategic plan to provide excellent
clinical care backed by locally-generated evidence.
|
We want to share our experience with the rest of Africa. When our
organisation was invited to the DSCHANGE project, we did not know
we would become data science enthusiasts! We want to showcase our
initial work on how we harnessed data from our EHR to drive our
facility towards an advanced-level hand hygiene facility. The
journey has just begun. We are excited about sharing ideas and
networking to advance our work. Joining hands to reduce
healthcare-associated infections and antimicrobial resistance is
worth sharing. We look forward to learning other data tools to
improve healthcare services and processes.
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Poster board Number 8 |
| Gciniwe Baloyi |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
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IBM is part of the HEAT Centre. We are contributing to the
research projects in this Centre.
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It is important that we present so that we can share our knowledge
and our most recent findings to gain feedback and constructive
criticism from individuals who are experts in these fields. This
will help to shape the future of our work.
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Poster board Number 11 |
| Guéladio Cisse |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
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University Peleforo Gon Coulibaly (UPGC) is a public university in
Côte d'Ivoire - Swiss Centre for Scientific Research in Côte
d'Ivoire (CSRS) is a regional research centre based in Abidjan,
Côte d'Ivoire. They are both involved in the HEAT CENTRE project
implementation, and used to sceintific research partnerships.
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We are starting the 5th year of activities in the frame one DS-I
Africa affiliated project. It is important to connect with the
other affiliated projects and potentially find opportunities for
collaboration in the future.
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Poster board Number 12 |
| Iba Dieudonné Dely |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
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The HEAT Center aims to generate robust scientific evidence on the
health impacts of heat.
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With the aim of establishing a collaborative network in the field
of data science, with a specific focus on the interactions between
heatwaves and health impacts.
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Poster board Number 14 |
| Natasha Lalloo |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
|
Wits Planetary Health Research (Wits PHR), based at the University
of the Witwatersrand, leads the HE²AT Center, a transdisciplinary
initiative focused on understanding and mitigating the health
impacts of climate change across Africa. The work centers on
reanalysing large-scale longitudinal and routine health data,
linking it to climate exposures using advanced data science
methods. Wits PHR is contributes to the DS-I Africa initiative,
aligning with its goals of improving data science
capacity-building, development of new data collection/analysis
systems/applications/tools, and advancing data science in Africa.
Through the HarmonAIze project, embedded within the HE2AT Centre,
Wits PHR is developing a scalable, open-source AI toolkit for
semi-automated data harmonisation and spatiotemporal integration
of health and climate data. This toolkit addresses a key barrier
in DS-I Africa: the limited feasibility of reusing heterogeneous
health datasets. Wits PHR also supports DS-I Africa's training
mission by empowering early-career African researchers and
integrating their work into broader collaborative projects.
Additionally, by sharing tools through the eLwazi Open Data
Science Platform, Wits PHR fosters sustainability and continental
access to harmonised data systems. Through its leadership and
partnerships, Wits PHR significantly advances DS-I Africa's vision
of leveraging data science to improve health outcomes across the
continent.
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Exhibiting at the Data for Health in Africa Meeting and the 5th
DS-I Africa Consortium Meeting is a great opportunity for WPHR and
the HarmonAIze consortium to showcase our AI-driven toolkit for
health data harmonisation and climate linkage. It allows us to
connect with collaborators, gather feedback from diverse
stakeholders, and demonstrate how the toolkit supports scalable,
secure, and equitable climate-health research across Africa. We're
especially looking forward to engaging with other DS-I Africa
hubs, building partnerships for pilot implementations, and
fostering dialogue around Africa-led data science innovations that
advance health equity on the continent.
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Poster board Number 20 |
| Yao Etienne Kouakou |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
|
I work in a research institution that works with various partners,
including government departments, to translate research findings
into development projects and programmes for the benefit of the
community.
|
It's important for us in two ways: to present our research work,
but also to meet new people/teams and so have a network of
partners working on different themes of interest.
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Poster board Number 29 |
| Craig Parker |
Developing data science solutions to mitigate the health impacts
of climate change in Africa: the HE2AT Center (HEAT)
|
the Wits Planetary Health Research, where we lead the HE²AT
Center, an NIH-funded initiative tackling the health impacts of
climate change in Africa. Our team contributes deep expertise in
epidemiology, public health, and machine learning, collaborating
across institutions to harmonize data, develop predictive models,
and generate actionable insights. Through these partnerships, we
aim to inform policy and build resilient health systems.
|
Exhibiting offers an opportunity to showcase the HE²AT Center's
innovative approach to integrating climate and health data using
machine learning. We are eager to engage with fellow researchers
and funders, foster collaborations, and learn from other
data-driven health initiatives across the continent.
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Poster board Number 5, Exhibition booth 9
|
| Alfred Blay |
DICE |
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Poster board Number 2 |
| Patrick Attey-Yeboah |
DICE |
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Poster board Number 24 |
| Paul Kwame Adjorlolo |
DICE |
The University of Ghana's School of Public Health's Department of
Biostatistics is dedicated to improving the use of statistics in
public health research. We do a lot of different things, like
epidemiological studies, analyzing health data, and building
capacity. We work with local and international partners, such as
government health agencies, universities, and global research
networks, to gather evidence for policy and make health outcomes
better.
|
Exhibiting at the Data for Health in Africa Meeting and the 5th
DS-I Africa Consortium Meeting Networking Exchange is a great way
to show off our research on child health and environmental health
outcomes, meet data science and public health experts, and share
ideas on new ways to analyze data. For our group, it's a chance to
strengthen partnerships, look into funding and training
opportunities, and make sure our work is in line with continental
health data priorities. We are excited to work with possible
partners, learn from other health projects that use data, and find
ways to use advanced data science methods to solve urgent health
problems in Africa.
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Poster board Number 53 |
| Lyndon Zass |
eLwazi (Open Data Science Platform)
|
African data are underrepresented and data that do exist are not
easy to find due to superficial annotation. The African Genomics
Data Hub Data (AfriGen-D) is a new project which is maintaining
and further developing H3ABioNet resources to ensure that the
African data that do exist are findable and available in an
accessible format for different users. The hub provides a set of
related resources for African genomics research that are globally
applicable. These resources aim to fill gaps in international
efforts and improve the processing and analysis of African data.
AGDH encourages and facilitates the submission of multi-omics
African data to public repositories and will provide a African
data catalogue to enable searching of metadata for African
datasets stored locally and in public databases. AGDH complements
resources such as gnoMAD and serves data in the African Genomic
Variation Database that are not available otherwise (due to data
sharing limitations). Data include African population-level allele
frequencies at a more granular level than currently exists.
Further information on clinically actionable variants that have
been identified or verified in African populations are served from
the African Genomic Medicine Portal (AGMP:
https://agmp.h3abionet.org/). AfriGen-D will extract and curate
additional African genotype-phenotype data from literature and
public databases to include in the AGMP. Additional H3ABioNet
tools that are transitioning to AGDH include the H3Africa
imputation service and an African reference graph and pangenome
for variant calling. Together, these resources provide African
data in a more accessible form and a tool suite to analyze and
interpret the data.
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The Exchange is important to raise awareness for the African
Genomics Data Hub, as well as identify opportunities for
collaboration with interested research groups, or other
organisations with overlapping interests.
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Poster board Number 19, Exhibition booth 7, Electronic Screen 4
|
| Nicola Mulder |
eLwazi (Open Data Science Platform)
|
The African Bioinformatics Institute (ABI) will be a pan-African
organization unifying high quality Bioinformatics research,
services and training. The ABI aims to work with multiple
stakeholders, including Bioinformatics scientists, Bioinformatics
users, technology providers and large data-driven projects.
|
The ABI seeks to increase visibility and reach out to potential
members and users. The event will be important for interaction
with multiple stakeholders and for gathering feedback to drive the
long term strategy of the institute.
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Poster board Number 22, Exhibition booth 8
|
| Ezinne Uvere |
Growing Data-science Research in Africa to Stimulate Progress
(GRASP)
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The Growing Data-science Research in Africa to Stimulate Progress
(GRASP) program is a three-year program designed to harness
innovation potential to build sustainable data science (DS)
research capacity among qualified African scholars through
innovative partnerships and collaborations. GRASP, over the years
have fostered partnerships with faculties, experts, research
programs, consortiums, Universities and research institutes
including Data Science Initiative-African programs) within and
outside Africa in the pursuit of its aim of promoting a learning
environment that inspires innovative thinking for a remarkable
transformation for producing Brain Health solutions for African
and the world.
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This meeting presents an opportunity to share outcomes of our
research in the previous years; highlight the various research
collaborations fostered in the implementation and
capacity-building objectives of our program
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Poster board Number 9 |
| Florence Nameere-Kivunike |
Makerere University Data Science Research Training to Strengthen
Evidence-Based Health Innovation
|
Makerere University and particularly the CHS and CoCIS, are
partnering in this project to develop curricula and offer training
in health data science.
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Interactions that will grow our mentorship network to support our
postgraduate trainees
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Poster board Number 10 |
| Nchangwi Syntia Munung |
Public Understanding of Big data in Genomics Medicine in Africa
(PUBGEM-Africa)
|
University |
As a science comm and public engagement activity
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Poster board Number 21 |
| Emile Chimusa |
State of Data Science for Health in Africa
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Poster board Number 30 |
| Nicholas Ekow Thomford |
State of Data Science for Health in Africa
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Poster board Number 31 |
| Cornelius Ewuoso |
State of Data Science for Health in Africa
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Poster board Number 32 |
| John Patena |
State of Data Science for Health in Africa
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Poster board Number 33 |
| Samson Yohannes |
State of Data Science for Health in Africa
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Poster board Number 34 |
| Muthise Bulani |
State of Data Science for Health in Africa
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Poster board Number 35 |
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Data Science Writing Project
|
State of Data Science for Health in Africa
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Poster board Number 36 |
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Data Science Writing Project
|
State of Data Science for Health in Africa
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Poster board Number 37 |
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Data Science Writing Project
|
State of Data Science for Health in Africa
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Poster board Number 38 |
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Data Science Writing Project
|
State of Data Science for Health in Africa
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Poster board Number 39 |
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Data Science Writing Project
|
State of Data Science for Health in Africa
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Poster board Number 40 |
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Gloria Dede Langmaki Langmatey
|
Science Communications Exhibition (PUBGem)
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Poster board Number 40 |
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Science Communications Exhibition (PUBGem)
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Science Communications Exhibition (PUBGem)
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Poster board Number 41 |
| Adeyinka Odebode |
Science Communications Exhibition (PUBGem)
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Poster board Number 42 |
| Sumir Panji |
Science Communications Exhibition (PUBGem)
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Poster board Number 43 |
| Denis Omondi Owiti |
Science Communications Exhibition (PUBGem)
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Poster board Number 44 |
| Kyusonn Samuel |
Science Communications Exhibition (PUBGem)
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Poster board Number 45 |
| Munadia Ansarie |
Science Communications Exhibition (PUBGem)
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Poster board Number 46 |
| Alfred Githuka |
Science Communications Exhibition (PUBGem)
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Poster board Number 47 |
| Beth Amato |
Science Communications Exhibition (PUBGem)
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Poster board Number 48 |
| Oluwagbemiga Siyanbola |
Science Communications Exhibition (PUBGem)
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Poster board Number 49 |
| Emma Kalk |
Science Communications Exhibition (PUBGem)
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Poster board Number 50 |
| Dennis Musinguzi |
Tuberculosis in households with infectious cases in Kampala city:
Harnessing health data science for new insights on TB transmission
and treatment response (DS-IAFRICA-TB)
|
Tuberculosis in households with infectious cases in Kampala city:
Harnessing health data science for new insights on TB transmission
and treatment response (DS-IAFRICA-TB). The DS-I Afirca TB project
aims to harness data science for health discovery and innovations
for TB in context of households with infectious cases of TB in
Kampala. This is being achieved through i) the development of
Machine Learning models to predict TB patients at baseline (month
0) who would not sputum/culture convert at months 2 and 5, hence
are at risk of failing treatment with anti-tuberculous drugs. And
ii) developing Machine Learning models to identify contacts of
index-TB cases that are at risk of developing household TB
disease, and predict contacts who could be resistant to TB
infection despite persistent and/or multiple exposure to M.
tuberculosis in a household. We can therefore collaborate on
various aspects e.g. data acquisition or sharing to generate
comparative models in different contexts.
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Poster board Number 51 |
| Kiros Berhane |
Advancing Public Health Research in Eastern Africa through Data
Science Training (APHREA-DST)
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APHREA-DST is one of the training grants in DS-I Africa with focus
on capacity building (via its faculty scholar program and
short-term training workshops; and via its MS in Public Health
Data Science degrees at University of Nairobi (Kenya) and Addis
Ababa University (Ethiopia)). It has several research projects as
partners, including the GEOHealth Hub for Eastern Africa. It can
partner on training activities across a wide range of data science
competency topics.
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It would be a great opportunity to share APHREA-DST's training
activities, including its partnership with many research projects
in the Eastern Africa region. It will be an opportunity to share
areas for joint training activities.
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Poster board Number 52 |
| Shonna Smith |
H3Africa DBAC |
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Poster board Number 53, Exhibition booth 10
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