Single-Cell Intelligence — Foundation Learning Guide¶
For a reader with no background in this area. If you have watched the Foundations film series, this follows directly from it.
The one idea to hold¶
Computation and interpretation are separate jobs, and keeping them separate is what makes each one checkable.
What this subject does with that idea¶
Interprets what single-cell clustering results mean clinically.
The engine computes; the agent explains. Nine clusters are a result — what they imply for this patient is an interpretation.
Decision support for a qualified clinician — never autonomous diagnosis or prescribing. Every output on this page is intended to inform a clinician's judgement, not replace it.
What it cannot do¶
Interpretation rests on the quality of the upstream clustering and the marker panel used.
Stating the limit is not a disclaimer bolted on the end — it is how you tell a tool that helps from a tool that misleads.
Vocabulary you will meet¶
| Term | Plain meaning |
|---|---|
| Capability | One named thing the platform can do, registered in capabilities.json |
live / planned |
Whether a capability actually answers today, or is intended |
| Decision support | Output that informs a clinician; it never decides |
| LIVE / REPRESENTATIVE / BURST | Whether a demo ran now, was pre-computed, or ran on remote GPUs |
Try it¶
The demo for this subject is A8:
.venv/bin/python scripts/run_demo.py A8
If it reports BLOCKED, the message names exactly what is missing. That is intentional — a demo
that cannot run says so rather than showing you something canned.