AI predicts immune failure in HIV patients
Static blood tests are failing HIV patients who seem healthy on paper but remain at risk of silent immune failure.
August 6, 2026
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Discover the newest research about AI innovations in ð Time Series Analysis.
Simple Math Beats LLMs in ICU Shock Prediction
A new study reveals that basic physiological math outpaces complex large language models at predicting patient crash times.
June 11, 2026
Study Reveals Connection Between Mental Health and Type 2 Diabetes Risk
Study links mental health issues like loneliness and insomnia to increased type 2 diabetes risk. ð§ âĄïļðĐ
May 9, 2026
A Transformer-Based Variational Autoencoder for Training Data Generation in Spindle Motor Vibration-Based Anomaly Detection.
Transformer-VAE boosts spindle motor anomaly detection: 98.07% pass, 97.99% fail accuracy with synthetic data generation! ðð§
April 14, 2026
Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.
Machine learning predicts cardiovascular risk in Chinese adults: 22% incidence, AUC 0.829, waist circumference key factor. ðâĪïļ
March 27, 2026
A Critical Four-Hour Therapeutic Window Predicts Delayed Encephalopathy Risk After Carbon Monoxide Poisoning: A Multicenter Retrospective Cohort Study.
Critical Four-Hour Window for CO Poisoning: Key Findings on Delayed Encephalopathy Risk ððĄ
March 23, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ððĶī
March 21, 2026
Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.
Machine learning enhances heart transplant outcomes: 90-day graft failure risk stratification tool shows AUC 0.67 ðâĪïļ
February 3, 2026
Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.
Machine learning predicts pile displacements effectively! ð AdaBoost-BP model outperforms BP model in accuracy. Key factors: distance, angle, moisture. ð
January 26, 2026
AI Enhances Seizure Prediction Through Future Data Insights
AI improves seizure prediction by utilizing future data insights, enhancing accuracy by up to 44.8%. ð§ ð
November 4, 2025