From 0c8125ffddc7b67541b9975dd26769ffef31ccd0 Mon Sep 17 00:00:00 2001
From: Alexander Getka <59709326+AlexanderGetka-cbica@users.noreply.github.com>
Date: Thu, 12 Dec 2024 13:40:53 -0500
Subject: [PATCH] Update README.md

---
 README.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 871f654..a3c5b73 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,11 @@
 # NiChart: Neuro-imaging Chart
 
-NiChart is a comprehensive framework designed to revolutionize neuroimaging research. It offers large-scale neuroimaging capabilities, sophisticated analysis methods, and user-friendly tools, all seamlessly integrated into a local installation version and the [AWS Cloud](https://neuroimagingchart.com/portal/).
+NiChart is a novel AI-powered neuroimaging platform with tools for computing a dimensional chart from multi-modal MRI data. NiChart provides end-to-end pipelines from raw DICOM data to advanced
+AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with
+reference distributions for comparison to a broader population.
+
+We provide both locally deployable software and a cloud application. [NiChart cloud application](https://neuroimagingchart.com/portal), hosted via Amazon Web Services (AWS), deploys
+scalable infrastructure which hosts the NiChart tools as a standard web application accessible via the user’s web browser. The cloud and desktop applications are unified at the code level through the use of the Python library [Streamlit](https://streamlit.io/). Consequently, the user experience is nearly completely identical between the cloud and desktop applications.
 
 ## Components