Somerset Cancer Register Introduces Cloud-Based Platform
Somerset Cancer Register launches a cloud-based platform to enhance cancer data management and improve patient care. βοΈπ»
October 3, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.
Efficient walking energy expenditure estimation via continuous ramp protocol shows 10.7% error, outperforming traditional methods. πΆββοΈπ
October 3, 2025
AI Identifies Subtle Signs of Depression in Student Facial Expressions
AI detects subtle facial signs of depression in students, aiding early intervention and mental health monitoring. π€π
October 2, 2025
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! ππ
October 2, 2025
Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, CΓ΄te d’Ivoire, Nigeria and Uganda.
AI in Malaria RDTs: 96.8% Accuracy Across 110,843 Tests in Africa! π€π
October 2, 2025
Using Medical Named Entity Recognition in Automatic ICD Prediction.
Innovative algorithm achieves 90% precision in ICD code prediction using Medical NER and ClinicalBERT. ππ‘
October 1, 2025
AI Tool Enhances Visualization of Disease Mechanisms
AI tool ProRNA3D-single enhances visualization of disease mechanisms, aiding drug discovery for viruses and Alzheimerβs. π§¬π‘
October 1, 2025
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 and further validation. ππ©Ί
October 1, 2025
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 obstructive sleep apnoea. ππ€
October 1, 2025
Introduction to the Special Issue: Integration of Technologies into Cognitive Behavioral Therapies for Fear-Based Conditions.
Exploring tech’s role in CBT for fear-based disorders: digital tools enhance access and treatment efficacy. π±π§
September 30, 2025