ROADMAP.md

Roadmap

This roadmap reflects the current project state and the next major build priorities for the multimodal pancreatic cancer detection repository.

Now: Stabilize The Hybrid Research Repo

Current baseline:

• uv-managed environment and lockfile
• modular helper layers under src/
• one primary notebook driving the full experimental flow
• tracked reports and figures for the latest results
• local-only raw data, processed data, embeddings, and model checkpoints

Highest-priority remaining work:

• continue refactoring reusable notebook logic into src/
• make the notebook more orchestration-focused and less implementation-heavy
• keep documentation aligned with the repo's real state
• preserve a clean boundary between tracked lightweight outputs and ignored heavy assets
• keep the thesis interpretation visible in the codebase: strong biomarker reproducibility, ambiguous CT generalization, and exploratory-only fusion claims

Status:

• Active delivery focus

Next: Reproducibility And Research-Code Hardening

• extend the current lightweight test baseline beyond stable helper modules
• add more explicit run paths for common tasks such as report generation and preprocessing
• reduce notebook-only helper duplication in EDA and diagnostics sections
• tighten artifact naming and report consistency across reports/ and figures/
• keep uv dependencies aligned with actual runtime imports
• keep the processed-data-first run path explicit so the notebook can run without raw assets in normal use
• codify negative-control and multi-seed evaluation patterns so future fusion work stays methodologically honest

Status:

• In progress

Later: Cleaner Experiment Interfaces

The next major structural improvement after modularization is a cleaner runner surface around the existing notebook and modules.

Targets:

• expose common experiment steps through small scripts or thin CLI entry points
• make key reports reproducible without manually re-running the full notebook
• separate stable experiment interfaces from one-off thesis exploration code
• keep notebook usage focused on analysis, visual inspection, and narrative assembly
• make it easier to rerun the bias-analysis and summary-generation parts of the workflow outside a full notebook session

Status:

• Planned, not started

Future: Expanded Research Extensions

Potential later work includes:

• stronger uncertainty tooling under src/uncertainty/
• cleaner support for repeated ablation runs
• broader experiment packaging for publication or demo purposes
• adaptation to real paired multimodal cohorts if such data becomes available
• external CT validation on additional institutions to resolve whether the current CT signal is pathological, domain-driven, or mixed
• domain-adversarial CT training, likely via a gradient reversal layer, to suppress dataset-of-origin information in learned representations
• matched CT-plus-biomarker cohorts so fusion can be evaluated as a real clinical question instead of a synthetic pairing exercise
• volumetric CT architectures or transformers once the data and validation setup justify moving beyond slice-based modelling

Status:

• Deferred until the current modularization and reproducibility work is stable