Case study - Automation testing for cancer diagnostic and treatment solutions - Sigma IT
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Automation Testing For Cancer Diagnostic & Treatment SolutionS

Case Study – Life Sciences

automation testing for more accurate Diagnosis

ABOUT CLIENT:
Our Client is a pioneering global diagnostics company building the next generation of AI-based solutions that provide clinicians and patients with high-value insights into cancer diagnostics and treatment. 

PROJECT GOAL:
Our Client was looking for competencies in automation testing to improve its tests and enable a more accurate diagnosis. The project goal was to support the Digital Pathology Solutions team by implementing automation testing in  three different areas.  

Our Services

Our services included:
 – UI testing of the Data Visualization Platform for Immunotherapy: the main task was to select the best testing framework and the leading language for automation tests. After a thorough analysis, we recommended choosing Playwright and Python as the leading language for automation tests. 
–  Automatic reporting for API testing: we implemented automation test cases (from scratch) for API testing. It requires the implementation of appropriate requests and sending them, waiting for the response from the backend side. All test cases were implemented according to API documentation done with Swagger.
– Automation Test Cases for pharma platform: We prepare automation test cases from scratch. This project focused on presenting and visualizing patient test results so that specialists (doctors) could analyze them on the web platform. 
 

Impact: Improving diagnosis Accuracy

The possibility of creating tests that enable a more accurate diagnosis without the need for risky, costly, and often unnecessary surgery is of great importance. Our engineering services in Automation Testing helped our Client to test solutions thoroughly, so they work more accurately and can make a difference in the lives of physicians and patients. 

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