Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection.
Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! 💤📊
New Prescription Tracking Feature Launched in NHS App
NHS App introduces prescription tracking feature 📱💊, allowing real-time updates to reduce pharmacy visits...
Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia.
Machine learning predicts abortion in Ethiopian women: 91% accuracy, key factors include age and...
World Health Assembly Approves Extension of Digital Health Strategy to 2027
World Health Assembly extends WHO's Digital Health Strategy to 2027. 🌍 Focus on improving...
A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies.
RASA-driven chatbot enhances EQ5D completion for elderlies, improving health monitoring with custom actions and...
Hinge Health Raises $437.3 Million in Initial Public Offering
Hinge Health raises $437.3 million in IPO, offering digital musculoskeletal care and innovative health...
![[Construction of a diagnostic prediction model for childhood allergic asthma based on the detection results of specific IgE for airborne allergens].](https://yesilscience.com/wp-content/uploads/2025/05/Construction-of-a-diagnostic-prediction-model-for-childhood-allergic-asthma-based-on-the-detection-results-of-specific-IgE-for-airborne-allergens.jpg)
[Construction of a diagnostic prediction model for childhood allergic asthma based on the detection results of specific IgE for airborne allergens].
Childhood asthma prediction model: 4,338 cases analyzed, AUC 0.853, key predictors include cough, wheezing,...
CureBay Secures $21 Million to Enhance AI in Rural Healthcare
CureBay secures $21 million to enhance AI in rural healthcare, expanding e-clinic services across...
Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.
Palliative care documentation trends in metastatic cancer reveal weakening lexical associations over time. 📉🩺