Pressure-Guided LSTM Modeling for Fermentation Quantification Prediction.
Innovative LSTM Model Predicts Fermentation Dynamics with RΒ² up to 0.9437! ππ¬ Data integrity via blockchain enhances reliability.
September 23, 2025
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Risk prediction model for post-endoscopic retrograde cholangiopancreatography pancreatitis: A systematic review and meta-analysis.
“PEP risk models show 8.48% incidence; predictors include pancreatic duct cannulation (OR=3.50) and previous pancreatitis (OR=3.32). ππ”
September 16, 2025
A cross-language analysis of urolithiasis patient online materials: Assessment across 24 European languages.
Urolithiasis online materials are complex; 20% of patients struggle with comprehension. Simplification is crucial for better adherence. ππ§
August 28, 2025
Discrepancies between plantar pressure devices: Evaluating cross-system reliability for biomechanics, clinical use and predictive modelling.
Plantar pressure devices show significant variability in measurements, impacting clinical reliability and predictive modeling. ππ£
August 1, 2025
New Life Sciences Sector Plan to Enhance NHS Preventative Care
New Life Sciences Sector Plan aims to enhance NHS preventative care with Β£2bn investment. π₯π‘
July 16, 2025
NHS South East London Plans Womenβs and Girlsβ Health Hubs Using Data Analysis
NHS South East London is establishing women’s and girls’ health hubs in Lambeth and Greenwich to enhance service access and reduce health inequalities. π₯π©ββοΈ
July 12, 2025
Forecasting Achievement of Inactive Disease in Juvenile Idiopathic Arthritis with Artificial Intelligence.
AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! π€π
June 26, 2025
Towards determining clinical factors influencing critical structure identification using Artificial Intelligence.
AI enhances laparoscopic surgery insights, analyzing 481 videos to reveal surgeon experience impacts on anatomy visualization. ππ
June 15, 2025
Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.
Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. ππ§
May 25, 2025
Opposing-through crash risk forecasting using artificial intelligence-based video analytics for real-time application: integrating generalized extreme value theory and time series forecasting models.
AI-driven crash risk forecasting integrates GEV theory and time series models for real-time safety at intersections. π¦π
May 9, 2025