AfriBiobank

Empowering Africa's Medical Research Through Intelligent Data Sharing

The continent's premier medical imaging biobank, enabling breakthrough research, AI development, and improved healthcare outcomes.

Join 20+ institutions across 10 African countries already collaborating on AfriBiobank

0.0M+
Medical Images
Across all modalities
0+
Partner Institutions
And growing
0
African Countries
Represented
0
AI Models
Trained on African data
0+
Active Researchers
Worldwide
0
Publications
Using our data

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 cutting-edge 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 don't just 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

Nairobi, Kenya

Radiologist Discovers Rare Cancer Insights

A radiologist can access certified, anonymized data that helps diagnose a rare pediatric cancer, using African historical records.

Live Implementation
Accra, Ghana

Doctor Receives AI-Powered Support

A doctor can receive AI support trained on scans that reflect Ghanaian patients, not just foreign cohorts.

Live Implementation
Johannesburg, South Africa

Researcher Collaborates Without Borders

A researcher can collaborate seamlessly with colleagues in Dakar, working with federated data without borders.

Live Implementation

Delivering Value to Every Stakeholder

For Hospitals

It reduces misdiagnosis

For Researchers

It unlocks discovery

For Pharmaceutical Companies

It de-risks clinical trials

For Governments

It drives policy with evidence

For Patients

It does what matters most—it saves lives

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 Africa's largest medical imaging repository for groundbreaking research. Collaborate globally while maintaining local control of your data.

Free access for academic research
1M+ curated medical images
Multi-institutional collaboration
GPU infrastructure for analysis

Healthcare Institutions

Join Africa's Premier Medical Network

Connect with peer institutions, contribute to cutting-edge research, and access AI tools that improve patient outcomes.

Access pre-trained AI models
Federated learning participation
Revenue sharing for data
Staff training included

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.

Largest African medical dataset
Pre-labeled training data
Model deployment platform
Commercial licensing available

Pharmaceutical Companies

De-Risk Clinical Trials

Access diverse patient populations for clinical trials, validate diagnostics, and develop products that work for African markets.

Representative patient cohorts
Clinical trial recruitment support
Biomarker discovery
Regulatory compliance support

Government & Policy Makers

Data-Driven Healthcare Policy

Access population-level insights to inform healthcare policy, allocate resources effectively, and monitor public health trends.

Population health analytics
Disease burden assessment
Resource allocation insights
Evidence-based decision making

Success Stories

Real Impact, Real Results

🫁

Public Health

TB Detection in West Africa

Challenge:

TB remains a leading cause of death with varying diagnostic accuracy across facilities.

Solution:

Consortium trained AI on 25,000 chest X-rays from Nigeria, Ghana, and Senegal.

"Saving lives where TB often goes undiagnosed until too late."

Dr. Olabisi Adeyemi

📄 Lancet Digital Health (2024)

Key Results:

95%
Accuracy
50K+
X-rays Analyzed
40%
Missed Cases Reduced
50+
Clinics Using

Our Growing Impact

Advancing African Healthcare

127

Publications

Peer-reviewed papers

+23%

1,243

Researchers

From 45 countries

78% Africa

234

Studies

Active projects

34% Oncology

89

AI Models

Serving 150+ institutions

+23% accuracy

Citation Impact

AfriBiobank publications cited 3,400+ times, avg impact factor 12.8

Our Growing Network

Building Africa's Healthcare Future

20+

Institutions Partners

  • Lagos University Teaching Hospital, Nigeria
  • Korle-Bu Teaching Hospital, Ghana
  • Kenyatta National Hospital, Kenya
  • Groote Schuur Hospital, South Africa
12+

Technology Partners

  • NVIDIA - GPU & AI
  • Microsoft Azure - Cloud
  • AWS - Infrastructure
  • Google Cloud - Healthcare API
8+

Funding Partners

  • Bill & Melinda Gates Foundation
  • Wellcome Trust
  • African Development Bank
  • European Commission
30+

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.