Nice, the ducks are lining up.
- CEO and Managing Director of InteliCare, Jason Waller noted;“This funding is an excellent opportunity to work with a world-class machine learning team in a highly cost effective way. From the outset, Intelicare’s strategy has been to not only use AI to detect critical events, but to harness our data to predict events so as to prevent them occurring in the first place.This is the first step on that journey and has significant potential to accelerate adoption of our technology. It can also provide additional revenue from value-added products, especially via the recently committed $7.5 billion to support older Australians to remain at home, and unlock new markets in health and care management workflows, such as Remote Patient Monitoring (RMP) which is expected to reach around US$ 4.8 Billion by 2030 with a CAGR of 20.01%i."
- NSSN Chief Operating Officer Nicholas Haskins stated;“The NSSN Grand Challenges Fund was established to support innovative research collaborations addressing the NSSN’s Grand Challenges in water, ageing, bushfires and COVID-19.”“The successful proposals stood out for their authentic partnership with industry or government, a genuine collaboration between universities and their focus on real-world impact,” said Mr Haskins. “These values align perfectly with the remit of the NSSN.”NSSN MedTech Theme Leader Ms Jane Evans said;“The NSSN is delighted to be working with the University of Sydney, Macquarie University and thecompany InteliCare on this project that aligns with NSSN Ageing Grand Challenge.”“The project will result in an improved notification system that enables caregivers and online operators to have a better understanding of when to intervene.”
- The University of Sydney’s School of Computer Science Head of School, Professor Athman Bouguettaya described the opportunity to work with InteliCare as;“The University of Sydney is a leader in IoT systems and AI and we are excited to work with Intelicare and the project's collaborators to create a solution to support in-home care for Australia's older citizens”
- Professor Michael Sheng, Head of Department, Department of Computing Macquarie University added;“With recent development of low-cost, unobtrusive Internet of Things (IoT) sensors, along with data analytics and artificial intelligence (AI), there is now a significant opportunity to apply the new technologies to the aged care field.”
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