Deep Learning and Wearables Predict the Occurrence of Health Risks in Senior Adults Including Falls, Depression, and Urinary Tract Infections
In its quest to provide unprecedented preventative care to seniors through its artificial intelligence powered platform, CarePredict, a leader in digital health, will exhibit at Aging2.0 Optimize 2018 Conference taking place in San Francisco from 14 November 2018 to 15 November 2018. The broad range of senior offerings featured at the conference include CarePredict’s solutions for assisted living & memory care, home care, independent living, and continuing care retirement communities. At Aging2.0 general session “Machine Intelligence Meets Senior Care,” CarePredict’s CEO and founder, Satish Movva will speak on the compelling need and benefits of leveraging technology to augment human observation.
Optimize 2018, an Aging2.0 event brings together innovators and industry leaders embracing new models of care to solve the most significant challenges and explore new opportunities emerging in senior care.
“We are excited to have CarePredict join us at the Aging2.0 OPTIMIZE conference for the fourth year in a row,” said Katy Fike, co-founder of Aging2.0. “CarePredict’s solution greatly enhances the quality of care caregivers can provide to seniors through deep learning and artificial intelligence. CarePredict is leveraging technology to address some of the biggest challenges and opportunities in aging, which is exactly the type of solution and innovators we’re delighted to have in the Aging2.0 community.”
CarePredict was the first-to-market to use machine learning, smart wearables, and unique kinematics to quantify daily activities performed by older adults. These unique data sets are used to train CarePredict’s deep learning neural nets to surface insights that provide early warning of a wide range of developing health conditions including the possible onset of depression, urinary tract infection and increased fall risk. All of these insights are generated without any self-reporting by the senior adult and without the need for in-person observation.
“Senior Healthcare is on the cusp of transformation with a steadily growing older adult population and a rapidly reducing workforce of caregivers,” said Satish Movva, CEO and founder, CarePredict. “Recognizing these challenges, our solution has been built to predict rather than detect through continuous observation and to do so with the least human effort.”