Cross-link Space, model and dataset; state the model's actual role in the demo

README.md

@@ -1,12 +1,16 @@
 ---
-title: MEDTRACE 🧠
-colorFrom: pink
-emoji: 🔬
-colorTo: green
+title: MEDTRACE
+colorFrom: indigo
+colorTo: blue
 sdk: static
 app_file: index.html
+pinned: true
 license: mit
 short_description: Longitudinal AI for brain-MRI disease evolution
+models:
+  - AIOmarRehan/medtrace-brats-segresnet
+datasets:
+  - AIOmarRehan/medtrace-rhuh-gbm-derived
 tags:
   - medical-imaging
   - mri
@@ -67,6 +71,12 @@ tags:
 > [dataset repository](https://huggingface.co/datasets/AIOmarRehan/medtrace-rhuh-gbm-derived), and
 > both renderers run on your GPU. Nothing is computed on request.
 >
+> **The linked model is published alongside this demo, not run by it.** Every outline and every
+> measurement shown comes from the expert-corrected segmentations that ship with RHUH-GBM. That is
+> deliberate: RHUH-GBM is post-operative and post-treatment, and the model was trained on
+> pre-operative scans only, so the one dataset published here is the one regime the model was not
+> trained for. The model card gives the reasoning and the numbers behind it.
+>
 > [Model](https://huggingface.co/AIOmarRehan/medtrace-brats-segresnet) ·
 > [Dataset](https://huggingface.co/datasets/AIOmarRehan/medtrace-rhuh-gbm-derived) ·
 > [Code](https://github.com/AIOmarRehan/medtrace)