1. Predict individual disease progression using GNN + Transformer models trained on multi-modal data (clinical scores, biomarkers, imaging, genetic data, etc).
2. Offer an interactive and minimal visualization interface for researchers AND patients to explore.
3. Will be open source under the MIT License on GitHub (extra credit for contributors)