Nanox AI
Yulia Eidlin is a seasoned QA professional with extensive experience in quality assurance engineering, currently serving as a Senior QA Engineer at Nanox AI since April 2022. Previously, Yulia held similar senior QA roles at Octopus.Health and Centerity Systems, Inc. Additionally, Yulia has worked as a QA Specialist at Infibond and as a Scrum QA Analyst and Specialist in various positions at Qognify and Retalix. Earlier in the career, Yulia took on leadership responsibilities as the Professional Services QA Leader at Pontis and contributed as an Integrator & QA Engineer at Scopus Video Networks. Additionally, Yulia has experience as a NMS QA Engineer at Allot and as a Quality Assurance Engineer at Comverse, enhancing expertise across multiple facets of quality assurance in diverse tech environments.
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Nanox AI
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Nanox AI is lighting up new pathways for smart population healthcare management with AI-based solutions, identifying patients at risk of having chronic disease and enabling the start of preventative care pathways. Integrated delivery networks and payers benefit from this technology with more accurate risk-adjustment, timely intervention, and improved quality of health services, while significantly reducing the associated costs. Nanox AI enables better, fairly reimbursed population health management and wellbeing for larger patient populations. #population health #AI #machine learning #digitalhealth #medicalimaging