Discover the newest research about AI innovations in 💤 Sleep.
Exploring subthalamic nucleus activity reveals 94% accuracy in classifying sleep stages, aiding sleep disorder therapies. 🧠💤
Paediatric sleep medicine is evolving. 🌙 Key topics include climate impact, education, and technology’s role in improving children’s sleep. 💤
AI is transforming obstructive sleep apnea research. 📈 Key trends include deep learning and personalized treatment. 💤
Mount Sinai has developed an AI algorithm to diagnose REM sleep behavior disorder (RBD) with high accuracy. 💤🤖
A recent study explored a voice-activated assistant to help young adult cancer survivors manage insomnia. 💤📱
Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. 🏆💡
Depression in Chinese college students: key predictors identified through machine learning. Factors include anxiety, sleep quality, and gender differences. 📊🧠
Exploring innovative methods for diagnosing pediatric obstructive sleep apnea. 🤖🛌 Advances in AI and biomarkers show promise! 🌟
New research highlights a model detecting drivers’ sleep onset through slow eye movements. 🚗💤 Promising results for safety!
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
