Aged Care Provider Reduces Staff Turnover Through Automation
Aged care provider reduces staff turnover from 40% to 17% through automation. π€π Improved workforce management enhances employee retention.
March 18, 2025
Follow us
latest articles
Discover the newest research about AI innovations in π΅ Elderly Care.
IoT-Based Elderly Health Monitoring System Using Firebase Cloud Computing.
Innovative IoT system enhances elderly health monitoring. Real-time data analysis improves care quality and user satisfaction. ππ΅π»
March 5, 2025
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes.
Innovative AI and IoT integration enhances elderly care in smart homes. π‘π΅ Personalized solutions improve health monitoring and response times. ππ‘
March 1, 2025
IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases.
IoT-enabled biosensors enhance chronic disease management through real-time monitoring and early detection. ππ‘ Explore their transformative potential in healthcare.
February 12, 2025
Women Entrepreneurs Shine at UK Women in Innovation Awards
Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. ππ‘
February 10, 2025
Integrating AIΒ·IoT-OAHPs with existing elderly care systems.
Integrating AI and IoT in elderly care enhances service delivery and optimizes resources. π€π₯ Read our review of this insightful article.
January 31, 2025
Students perspectives on the development and deployment of an AI-enabled service robot in long-term care.
AI robots in long-term care can enhance companionship for older adults. Students see potential but note ethical challenges. π€β€οΈ
January 29, 2025
ADL+: A Digital Toolkit for Multidomain Cognitive, Physical, and Nutritional Interventions to Prevent Cognitive Decline in Community-Dwelling Older Adults.
Exploring the ADL+ toolkit: a promising approach to enhance cognitive function and quality of life in older adults. π§ π
January 28, 2025
Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort.
New research highlights the role of cerebral MRA in predicting cognitive impairment in the elderly. π§ π Key factors include stenosis and radiomic features.
January 18, 2025
SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden.
New machine learning pipeline, SenPred, accurately identifies senescent fibroblast cells using single-cell RNA sequencing. π§¬π¬
January 15, 2025