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.
Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.
Innovative IoT security: 99.11% accuracy in threat detection using optimized multi-head self-attention model! 🔒📊
West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management
West Yorkshire pilots digital twin technology for chronic kidney disease management, aiming to enhance...
Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, Côte d’Ivoire, Nigeria and Uganda.
AI in Malaria RDTs: 96.8% Accuracy Across 110,843 Tests in Africa! 🤖🌍
Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility
Psicon and MHS collaborate to improve ADHD assessments, enhancing accessibility and efficiency for patients....
Using Medical Named Entity Recognition in Automatic ICD Prediction.
Innovative algorithm achieves 90% precision in ICD code prediction using Medical NER and ClinicalBERT....
AI Tool Enhances Visualization of Disease Mechanisms
AI tool ProRNA3D-single enhances visualization of disease mechanisms, aiding drug discovery for viruses and...
Machine learning fibrosis score for pediatric metabolic dysfunction-associated steatotic liver disease: Promising but premature.
Machine learning fibrosis score for pediatric MASLD shows promise (AUROC 0.92) but requires caution...
AI-Enhanced CRISPR Technology Aims to Accelerate Gene Therapy Development
AI-Enhanced CRISPR technology could speed up gene therapy development, making it accessible to more...
Electrocardiogram heart rate variability for machine learning diagnosis of obstructive sleep Apnoea: A bayesian meta-analysis.
Machine learning models using ECG-derived HRV show 79% sensitivity & 75% specificity for diagnosing...