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Microsoft And CueZen Partner to Deliver Personalized Health Recommendations

CueZen, a personalization engine for health, will be working with Microsoft Azure Health Data Services to revolutionize the healthcare industry. The collaboration aims to leverage CueZen’s generative AI technology for health and Microsoft Azure’s cloud services to provide more personalized patient engagement solutions to their healthcare enterprise customers.

“We are excited to collaborate with Microsoft Azure Health Data Services to empower healthcare enterprise customers to offer more personalized health recommendations and customized next best actions to their members and patients,” said Ankur Teredesai, CEO of CueZen. “Together we aim to provide tools for a more tailored and effective health experience for each individual, and to help improve engagement and health outcomes.”

The personalization engine for health enables sustained engagement to drive behavior change and helps improve patient outcomes while reducing costs, through precision recommendations.

“By combining CueZen’s AI-based personalization engine with Microsoft Azure’s cloud services, we can help healthcare organizations rapidly scale to enable more personalized patient care,” added Rajya Bhaiya, Senior Director MedTech, Microsoft Health and Life Sciences Data & AI.

This work will enable CueZen to leverage Azure’s secure, scalable, and compliant cloud infrastructure to enhance CueZen’s medical device data management and analytics capabilities. It will also enable CueZen to deploy new features and functionalities to its customers globally rapidly.

CueZen’s approach to modernize health data enables healthcare organizations to create digital twins of their patient or member populations by combining clinical data with lifestyle data from health trackers, apps, and home medical devices.

CueZen and NHS Lothian Revolutionize Personalized Health

CueZen and NHS Lothian Announce Strategic Opportunity to Revolutionize Personalized Health

Edinburgh, UK – April 10, 2023 – CueZen, a leading AI-based personalization engine for health, and NHS Lothian, a renowned healthcare organization, are pleased to announce their joint intention to progress a strategic innovation collaboration that aims to transform the landscape of personalized health in the UK.

This collaboration will involve joint research and development efforts, safe, secure and ethically approved data sharing and clinical validation of CueZen’s technology in NHS Lothian’s healthcare ecosystem. The goal is to develop personalized interventions that can enhance patient care, satisfaction, and overall health outcomes, with an initial focus on Gestational Diabetes. This collaboration brings together CueZen’s cutting-edge AI technology and NHS Lothian’s expertise in healthcare innovation to co-develop innovative solutions that will enhance patient outcomes and experiences. The collaboration will focus on exploring how CueZen’s advanced algorithms and data analytics capabilities can deliver personalized health recommendations, treatment plans, and interventions to patients in NHS Lothian’s care.

Prof. Tim Walsh, Director of Innovation, East Region Innovation Test Bed, added, “We are excited to collaborate with CueZen to explore how AI can enhance patient care and outcomes. This collaboration aligns with our commitment to drive innovation in healthcare and deliver personalized solutions that can make a meaningful impact on patients’ lives.”

Ankur Teredesai, CEO of CueZen, added, “We are thrilled to partner with NHS Lothian in this strategic innovation collaboration. Our AI-driven personalization engine has the potential to revolutionize healthcare delivery, and working with NHS Lothian will allow us to validate our technology in a real-world clinical setting to positively impact patient care and outcomes.”

Grahame Cumming, Innovation Champion in NHS Lothian, said, “By combining CueZen’s advanced AI technology with our staff’s clinical expertise, we aim to create tailored healthcare interventions that can make a real difference in patients’ lives. This collaboration represents a significant opportunity to advance healthcare in Scotland.”

Sunil Shinde, Co-Founder of CueZen and leader of the collaboration, expressed his enthusiasm, saying, “As a company dedicated to delivering personalized healthcare solutions, CueZen is honored to partner with NHS Lothian. Together, we can drive innovation and create positive change in the healthcare landscape.

With the increasing demand for personalized healthcare solutions, this collaboration between CueZen and NHS Lothian seeks to transform the way healthcare is delivered and experienced in the UK. By harnessing the power of AI and data analytics, this collaboration aims to enable personalized interventions that following evaluation, demonstrate improved patient outcomes, enhanced patient satisfaction, and reduced healthcare costs.”

About CueZen: CueZen is a leading AI-based personalization engine for health that leverages advanced algorithms and data analytics to deliver personalized health recommendations, treatment plans, and interventions. With a mission to revolutionize healthcare delivery, CueZen is committed to harnessing the power of AI to enhance patient care and outcomes.

About NHS Lothian: NHS Lothian is a renowned healthcare organization in Scotland, serving the population of Edinburgh, Midlothian, East Lothian, and West Lothian. As a part of the East Region Innovation Test Bed initiative, NHS Lothian is committed to driving innovation in healthcare and delivering personalized solutions that can make a meaningful impact on patients’ lives both within Scotland and beyond.

Generative AI: A New Digital Era

Generative AI: A New Digital Era

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TiE Seattle, in partnership with Tech Mahindra, hosted an exclusive event Generative AI: Ushering A New Digital Era. Generative AI is an emerging technology that has grown exponentially in the last decade. 

Ankur Teredesai, CEO, CueZen, joined other industry leaders from the AI space in a panel discussion on the critical role of ethics, innovation, and collaboration while leveraging AI.