Update app.py

app.py

@@ -221,8 +221,10 @@ with gr.Blocks() as demo:
 
     Upload a skull-stripped FLAIR brain MRI in NIfTI (.nii.gz) format to generate a binary segmentation of multiple sclerosis lesions.  
     FLAMeS is based on the nnUNet framework<sup>2</sup> and was trained on 668 MRI scans acquired using Siemens, GE, and Philips 1.5T and 3T scanners<sup>1</sup>.
+    For skull-stripping, we suggest using [SynthStrip](https://surfer.nmr.mgh.harvard.edu/docs/synthstrip/) with the `--no-csf` flag for optimal results.
 
-    **Disclaimer:** This is a research tool and is not intended for clinical use. Clinical decisions should not be based on the outputs of this tool.
+    
+    **Disclaimer:** Human data should only be uploaded for processing if permitted by your institution's data use agreements. This is a research tool and is not intended for clinical use. Clinical decisions should not be based on the outputs of this tool.
     
     """)