Researchers from South Korea have built machine learning-based models that can predict mood episodes using only sleep and circadian rhythm data from wearable devices.
The team comprised researchers from the Institute for Basic Sciences (IBS), Korea Advanced Institute of Science and Technology (KAIST), and Korea University College of Medicine.
FINDINGS
In a study, which findings were published in...
South Korean medical AI company AITRICS has obtained clearance from the Ministry of Health, Vietnam for its AI software for predicting patient deterioration.
VitalCare utilises AI to analyse 19 types of EMR data of patients in general wards to predict possible death, ICU transfer, and cardiac arrest within six hours. It can also predict sepsis within four hours, cardiac arrest within 24 hours, as...
Fujifilm and Juntendo Hospital in Japan have developed an AI that can accurately predict the risk of falls among outpatients using hospital data.
Their research team collated over 500 features associated with falls, including age and prescription history, from hospital data collected in Fujifilm's CITA Clinical Finder. The data platform is used to centrally manage data across various hospital...
Japanese pharmaceutical company Eisai, together with Oita University in Japan, has built what could be the world's first AI model that uses data from wearable devices to predict Alzheimer's disease, the most common form of dementia.
Their research team embarked on a study to create a cost-effective, practical tool to pre-screen people suspected of developing the disease. Their findings were...
Japanese pharmaceutical company Eisai has established a new digital health business targeting dementia.
WHY IT MATTERS
Eisai's newly formed wholly-owned subsidiary, Theoria Technologies Co., seeks to "accelerate the development of a dementia ecosystem." This ecosystem, according to a press release, will empower people with dementia to "live their fullest lives."
Commencing business in April 2024...
TIIM Healthcare, an AI health technology company in Singapore, has received an exclusive IP license to commercialise a novel technology developed by the Duke-NUS Medical School to identify patients at risk of dying from sepsis.
Established in 2016, TIIM, which stands for Technology Innovation in Medicine, develops AI triaging solutions. Its flagship product, aiTRIAGE, incorporates both heart rate...
An international study led by Monash University has done what could be the world's first demonstration of an AI model that can predict the optimal anti-seizure medication for newly diagnosed epilepsy patients.
WHAT IT'S ABOUT
The research team has trained a deep-learning prediction model using clinical information from around 1,800 patients in five health care centres in Australia, Malaysia,...
Researchers from Nanyang Technological University have created a predictive computer programme that could be used to screen individuals for risk of depression.
WHAT IT'S ABOUT
The machine learning-enabled Ycogni model detects a person's risk of depression by analysing their physical activity, sleep patterns, and circadian rhythms, whose data are acquired from wearable devices measuring steps,...
Irish medtech giant Medtronic's subsidiary Medtronic India has entered into a strategic partnership with Statis Health, a unit of Stasis Labs, to promote the latter's bedside patient monitoring system in India.
WHAT IT DOES
The Stasis Monitor comprises a bedside monitor that tracks six vital signs, a tablet and a cloud-connected app that enables remote monitoring across devices.
The connected...
InteliCare was recently awarded an AU$100,000 grant (around $77,000) from the New South Wales Smart Sensing Network to enhance its machine learning capability. It received the grant along with partners Macquarie University and the University of Sydney.
The listed aged care technology developer will be working on a one-year project with NSSN and the Computer Science units of both universities....
