Qualitia Software Pvt. Ltd.

Rahul Chaudhari

Sachin Dubey

Usman Khan

Maya Kv

Ravi Nukala

Sattam Thakur

The present invention relates to novel diagnostic tools including system, method and kit for determining antibiotic susceptibility in microorganisms directly in a clinical sample. Specifically, the present invention relates to a diagnostic system and method for testing antibiotic susceptibility based on a phenotypic screening of the microorganisms in the presence of major antibiotics being used currently. The present invention can be used directly on the clinical samples and obliterates the need for prior culturing. The present invention is convenient, rapid, cost-effective, does not need prior expertise to handle, has excellent selectivity and sensitivity. The present invention has the potential to improve patient outcomes and help reduce further evolution of antimicrobial resistant microorganisms.

Method for testing of antibiotic susceptibility in microorganisms

Disclosed are a system () and a method for an identification of web elements used in an automation test case. The system () and the method ensure reliable identification of an object despite dynamism. The system () and the method allow a tester to focus on the test case development of test cases rather than object management that in turn increases the success rate and efficiency of the automatic testing. The system () and the method track changes in object attributes, structure and behaviour thereby facilitating identification of dynamic objects automatically and correction of the object locator on the fly during test execution.

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Pune, India

Rahul Chaudhari