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.
Patient Death Associated with Cyber Attack on NHS Pathology Provider
Patient death linked to NHS cyber attack raises concerns about healthcare cybersecurity. ⚠️ Urgent...
Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.
Human-Centered Design in Digital Health: Key Trends & Challenges 🧠💻
NHS Wales Introduces New Diabetes Management Apps
NHS Wales launches diabetes management apps to support Type 2 diabetes prevention and self-management....
Immunomodulatory Therapy in Non-Infectious Uveitis: Current Landscape, Gaps, and Future Directions.
Immunomodulatory therapy for non-infectious uveitis: addressing gaps, optimizing strategies, and future AI advancements. 🧠👁️
Need for Unified Patient Records in the NHS
Unified Patient Records in the NHS: A pressing need for better care and efficiency....
Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.
Revolutionizing oncology education with AI, gamification, and digital media enhances learning experiences and professional...
![[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].](https://yesilscience.com/wp-content/uploads/2025/06/A-deep-learning-method-for-differentiating-nasopharyngeal-carcinoma-and-lymphoma-based-on-MRI.jpg)
[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].
Deep learning model differentiates nasopharyngeal carcinoma from lymphoma using MRI: AUC 0.93 for T1WI+T2WI....
MHRA Secures £1 Million for AI Airlock Regulatory Sandbox
MHRA receives £1 million for AI Airlock regulatory sandbox, promoting safe testing of innovative...
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study.
Optimizing arrhythmia detection: 94.82% accuracy with 4 beats using 1-D CNNs in real-world ECG...