AfriBiobank
Empowering Africa's Medical Research Through Intelligent Data Sharing
A federated medical imaging biobank built for African institutions, supporting research, AI development, and better healthcare outcomes across the continent.
Open to hospitals, universities and research institutions across Africa
The Challenge
AI Trained Elsewhere Fails African Patients
Meet Shade, a brilliant high school student in Lagos. When she fell ill, AI-assisted tools misdiagnosed her brain tumor because they were trained on European and North American data, not African patients.
Limited Access to African Medical Data
Africa is home to 1.4 billion people, yet global health databases barely represent our diversity.
Fragmented Data Silos
Medical data is locked away in individual hospitals, preventing collaborative research and AI development.
AI Bias & Misdiagnosis
Diagnostic AI trained on non-African data leads to dangerous misinterpretations of African patient scans.
Lack of Standardization
Without common formats and standards, sharing data between institutions is nearly impossible.
Privacy & Ethical Concerns
Traditional data sharing raises serious privacy issues and violates patient trust.
We are data-rich, yet insight-poor. It's time to change that.
Our Solution
A Medical Imaging Biobank Built for Africa, by Africa
AfriBiobank is more than a database. It's a collaborative platform that connects hospitals, researchers, policymakers, and communities across Africa through federated learning technology.
FAIR-Compliant Data Storage
Centralized access to decentralized data. We store medical imaging metadata and provide secure access without moving sensitive patient information.
- ✓Multi-modal imaging support
- ✓De-identification and anonymization
- ✓Quality certification process
- ✓Searchable metadata catalog
Collaborate Without Sharing Data
Revolutionary federated learning technology that trains AI models across multiple hospitals without any institution sharing raw patient data.
- ✓Privacy-preserving machine learning
- ✓Differential privacy guarantees
- ✓Secure multi-party computation
- ✓Real-time collaborative training
Pre-trained Models & Development Tools
Access dozens of AI models already trained on African medical images. Or build your own using our comprehensive ML platform.
- ✓50+ pre-trained models
- ✓Custom model training
- ✓Automated deployment
- ✓Explainable AI (Grad-CAM, SHAP)
Transparent, Compliant Operations
Built-in ethics and compliance frameworks ensure all research follows international standards while respecting local regulations.
- ✓Consent management system
- ✓Ethics committee oversight
- ✓GDPR/HIPAA compliance
- ✓Audit trails and transparency
We do not only talk about equity. We build it into the architecture of African healthcare innovation.
Real-World Impact
Transforming healthcare across Africa with data-driven insights and collaborative innovation
Radiologist Discovers Rare Cancer Insights
A radiologist can access certified, anonymized data that helps diagnose a rare pediatric cancer, using African historical records.
Doctor Receives AI-Powered Support
A doctor can receive AI support trained on scans that reflect Ghanaian patients, not just foreign cohorts.
Researcher Collaborates Without Borders
A researcher can collaborate with colleagues in Dakar, working with federated data across institutions.
Delivering Value to Every Stakeholder
For Hospitals
It reduces misdiagnosis
For Researchers
It opens up new research
For Pharmaceutical Companies
It de-risks clinical trials
For Governments
It drives policy with evidence
For Patients
It supports earlier, more accurate diagnosis
Africa's health data. Africa's insights. Africa's future.
How It Works
From Data to Discovery in Five Simple Steps
Step 1: Register & Get Approved
Create an account and submit your credentials. Institutions undergo verification, while researchers get fast-tracked approval from their home institutions.
Timeline: 1-3 business days
Step 2: Upload or Access Data
Institutions upload medical images through our secure portal. Researchers browse our catalog of certified datasets and request access based on their research needs.
Automated de-identification, quality checks, metadata extraction
Step 3: Annotate & Curate
Collaborate with experts to annotate images, add labels, and enrich metadata. Our tools support multi-user annotation with version control and approval workflows.
Tools: Web-based annotation tools, collaborative features, export formats
Step 4: Analyze with AI Tools
Run pre-trained AI models, train custom models, or participate in federated learning campaigns. Access powerful GPU infrastructure and experiment tracking.
Capabilities: Inference, training, federated learning, model deployment
Step 5: Real Insights & Impact
Share findings with the community, publish research, and contribute insights back to the platform. Co-authorship opportunities and recognition for data contributors.
Outcomes: Publications, patents, clinical guidelines, AI models
Ready to Get Started?
Powerful Features for Every User
Advanced Search
Find exactly what you need with multi-faceted search and semantic queries.
Analytics Dashboard
Real-time insights with beautiful visualizations.
AI-Powered Analysis
State-of-the-art AI models trained on African data.
Enterprise Security
Bank-level encryption and comprehensive audit logs.
Federated Learning
Train AI collaboratively without sharing patient data.
Semantic Metadata
Rich metadata using international standards.
Collaboration Tools
Work together across continents in real-time.
Mobile Access
Access datasets from anywhere with mobile-optimized interface.
FAIR Principles
Findable, Accessible, Interoperable, and Reusable data.
High Performance
Lightning-fast search and GPU-accelerated inference.
Version Control
Track changes with complete versioning and rollback.
Global Standards
Full compliance with international standards.
Who We Serve
Empowering Africa's Healthcare Ecosystem
Our platform serves diverse stakeholders across the African healthcare ecosystem and beyond.
Academic Researchers
Accelerate Your Research
Access a growing African medical imaging repository for your research. Collaborate globally while maintaining local control of your data.
Healthcare Institutions
Join a Pan-African Medical Network
Connect with peer institutions, contribute to collaborative research, and access AI tools that improve patient outcomes.
AI/ML Developers
Build AI That Works for Africa
Access high-quality, diverse African medical imaging data to train models that actually work for African patients.
Pharmaceutical Companies
De-Risk Clinical Trials
Access diverse patient populations for clinical trials, validate diagnostics, and develop products that work for African markets.
Government & Policy Makers
Data-Driven Healthcare Policy
Access population-level insights to inform healthcare policy, allocate resources effectively, and monitor public health trends.
Illustrative Scenarios
How Shared Data Could Work
The scenarios below show how the platform is designed to be used. They are illustrative, not completed studies, and the figures are planning estimates.
Public Health
Tuberculosis Detection in West Africa
Challenge:
Tuberculosis (TB) remains a frequent cause of death, and diagnostic accuracy varies widely between facilities.
Solution:
A consortium trains a shared model on chest X-rays contributed by hospitals in several West African countries.
Why it matters:
Pooling imaging data across borders could reduce the number of TB cases missed at first presentation.
Award-Winning Innovation
AfriBiobank was named a Top Three Finalist at the NextGen Interchange, Medical Image Computing in Resource-Constrained Settings (MIRASOL 2025), held in conjunction with the Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025 conference.
Awarded to
Lukman Enegi Ismaila
Johns Hopkins University, February 2026
Certificate endorsed by MICCAI, RISE-MICCAI, AFRICAI, the International Society of Radiology (ISR) and Fondation Pierre Fabre.
Our Growing Network
Building Africa's Healthcare Future
Institutions Partners
- •Lagos University Teaching Hospital, Nigeria
- •Korle-Bu Teaching Hospital, Ghana
- •Kenyatta National Hospital, Kenya
- •Groote Schuur Hospital, South Africa
Technology Partners
- •NVIDIA - GPU & AI
- •Microsoft Azure - Cloud
- •AWS - Infrastructure
- •Google Cloud - Healthcare API
Funding Partners
- •Bill & Melinda Gates Foundation
- •Wellcome Trust
- •African Development Bank
- •European Commission
Academic Partners
- •Harvard Medical School
- •Johns Hopkins University
- •Imperial College London
- •University of Cape Town
Become a Partner
Join leading institutions, technology providers, and funders transforming African healthcare.
Ready to Transform African Healthcare?
Join the movement. Whether you're a researcher, institution, or developer.