Update README.md

README.md

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 ## Background
 
-With the growing availability of wearable devices, photoplethysmography (PPG) has become a promising non-invasive tool for monitoring cardiovascular health. This model estimates vascular age (AI-vascular age) from PPG signals, providing insights into an individual's cardiovascular health and risk. 
+Photoplethysmography (PPG) has emerged as a non-invasive method for monitoring cardiovascular health. This model estimates vascular age (AI-vascular age) from PPG signals, offering insights into an individual's cardiovascular health and associated risks. 
 
-The model was developed and evaluated using data from the UK Biobank (UKBB) cohort, where PPG signals were collected in a standardized format. 
+The model was developed and evaluated using data from the UK Biobank (UKBB) cohort, where PPG signals were collected in a standardized format.
 
 ## Use Case
 
-The `VascularAge` model is designed to help assess cardiovascular health by estimating vascular age. It can be used for:
+The `VascularAge` model is designed to estimate vascular age, which can be used for:
 
-- **Risk Stratification**: Identify individuals at higher risk for cardiovascular events.
-- **Health Monitoring**: Track cardiovascular health over time for personalized intervention.
+- **Risk Stratification**: Identifying individuals at higher risk for cardiovascular events.
+- **Health Monitoring**: Tracking cardiovascular health over time to support personalized interventions.
 
-This model provides a non-invasive approach for scalable, real-time cardiovascular health assessment using PPG signals from wearable devices. It has been specifically trained to handle PPG data as found in the UKBB dataset, ensuring its applicability in research settings and clinical evaluations involving similar data.
+This model provides a non-invasive, scalable approach for real-time cardiovascular health assessment using PPG signals. It is specifically trained to process PPG data from the UKBB dataset, ensuring its effectiveness in research and clinical settings that use similar data.
 
 ## Data Format