acrolinx changes

Author: adishachar

articles/azure-health-insights/trial-matcher/support-and-help.md

@@ -1,7 +1,7 @@
 ---
 title: Trial Matcher support and help options
 titleSuffix: Azure AI Health Insights
-description: How to obtain help and support for questions and problems when you create applications that use with Trial Matcher
+description: How to obtain help and support for questions and problems when you create applications that use with Trial Matcher.
 services: azure-health-insights
 author: iBoonZ
 manager: urieinav
@@ -26,4 +26,4 @@ Explore the range of [Azure support options and choose the plan](https://azure.m
 
 ## Post a question on Microsoft Q&A
 
-For quick and reliable answers on your technical product questions from Microsoft Engineers, Azure Most Valuable Professionals (MVPs), or our expert community, engage with us on [Microsoft Q&A](/answers/products/azure?product=all), Azure's preferred destination for community support.
+For quick and reliable answers on your technical product questions from Microsoft Engineers or our expert community, engage with us on [Microsoft Q&A](/answers/products/azure?product=all), Azure's preferred destination for community support.

articles/azure-health-insights/trial-matcher/transparency-note.md

@@ -14,15 +14,15 @@ ms.author: adishachar
 
 # What is a Transparency Note?
 
-An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Creating a system that is fit for its intended purpose requires an understanding of how the technology works, what its capabilities and limitations are, and how to achieve the best performance. Microsoft’s Transparency Notes are intended to help you understand how our AI technology works, the choices system owners can make that influence system performance and behavior, and the importance of thinking about the whole system, including the technology, the people, and the environment. You can use Transparency Notes when developing or deploying your own system or share them with the people who will use or be affected by your system. 
+An AI system includes not only the technology, but also the people who use it, the people who affected by it, and the environment in which it is deployed. Creating a system that is fit for its intended purpose requires an understanding of how the technology works, what its capabilities and limitations are, and how to achieve the best performance. Microsoft’s Transparency Notes are intended to help you understand how our AI technology works, the choices system owners can make that influence system performance and behavior, and the importance of thinking about the whole system, including the technology, the people, and the environment. You can use Transparency Notes when developing or deploying your own system or share them with the people who will use or be affected by your system. 
 Microsoft’s Transparency Notes are part of a broader effort at Microsoft to put our AI Principles into practice. To find out more, see the [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai). 
 
 
 ## The basic of Trial Matcher
 
 ### Introduction
 
-Trial Matcher is a model that’s offered as part of Azure Health Insights   cognitive service. You can use Trial Matcher to build solutions that help clinicians make decisions about whether further examination of potential eligibility for clinical trials should take place.
+Trial Matcher is a model that’s offered as part of Azure Health Insights cognitive service. You can use Trial Matcher to build solutions that help clinicians make decisions about whether further examination of potential eligibility for clinical trials should take place.
 Organizations can use the Trial Matcher model to match patients to potentially suitable clinical trials based on trial condition, site location, eligibility criteria, and patient details. Trial Matcher helps researchers and organizations match patients with trials based on the patient’s unique characteristics and find a group of potentially eligible patients to match to a list of clinical trials.