Development Roadmap

Nov 2025

v1 Release Current

Initial genomics collection with multi-omic breast cancer suite and cross-cancer modules.

  • DNA methylation, RNA expression, tumour expression panels
  • Immune profiles, systemic markers, IHC profiles
  • Integrated ML dataset, disease progression, biomarker trajectories
  • Data quality benchmarks and missing data patterns
  • SNP array (SSA AIMs), structural variation catalogue
  • BRCA African mutations, colorectal, ovarian, cervical modules
2026 H1

Near-term Expansion Planned

Deeper breast cancer modules and additional cancer types focused on SSA.

  • Expanded survival and treatment response models
  • Enhanced ctDNA kinetics matching target literature values
  • Prostate cancer (SSA-focused) — germline + somatic datasets
  • Liver and hepatocellular carcinoma modules
  • Lung cancer with smoking/non-smoking profiles
2026 H2

Fairness & Robustness Benchmarks Planned

Standardised tasks for evaluating model fairness and robustness.

  • Cross-population fairness benchmarks with stratified metrics
  • Robustness under batch effects and QC variations
  • Reference tasks for imputation and causal inference
  • Radiogenomic stubs linking imaging features to genomics
2027+

Medium-term Vision Planned

Multi-modal integration, capacity building resources, and community governance.

  • Pathology imaging + genomics linkage
  • Proteomics and metabolomics stubs
  • Teaching bundles with Jupyter notebooks
  • Hands-on workshops and hackathon materials
  • Community review cycles with African clinicians and scientists
  • Expanded governance documentation
Long-term

Future Vision

From synthetic prototypes to governed real-world data partnerships.

  • Playbooks for transitioning to secure real patient data
  • Pan-African Synthetic Genomics Network
  • Open, extensible benchmarks for external contributions
  • Alternative generative models and evaluation protocols

Changelog

Initial Genomics Collection Release

November 2025

  • Published multi-omic breast cancer suite: DNA methylation, RNA expression, tumour expression panels
  • Released immune profiles, systemic immune markers, IHC profiles
  • Added longitudinal and ML-focused modules: integrated ML dataset, disease progression, biomarker trajectories
  • Published data quality benchmarks and missing data patterns
  • Released population genomics: SNP array (SSA AIMs), structural variation catalogue
  • Added cross-cancer modules: BRCA African mutations, colorectal, ovarian, cervical HPV

Future Entry

2026

  • To be updated as new datasets and benchmarks are released

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Questions about the roadmap or suggestions for new modules? Get in touch.

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