All Stories

  1. Machine learning to predict mitochondrial diseases by phenotypes
  2. Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study
  3. The diversity of hereditary neuromuscular diseases: Experiences from molecular diagnosis
  4. The Application of a Health-Management Platform to Improve Physical Activity in Hemodialysis Patients: A Cohort Study (Preprint)
  5. A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images
  6. A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images
  7. Effects of Erythropoietin Payment Policy on Cardiovascular Outcomes of Peritoneal Dialysis Patients: Observational Study
  8. Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study
  9. Exploring the Association between Changes in Dialysis Reimbursement Policies and Care Outcomes of Peritoneal Dialysis
  10. Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study (Preprint)
  11. The Impact of a Social Networking Service–Enhanced Smart Care Model on Stage 5 Chronic Kidney Disease: Quasi-Experimental Study
  12. Plasma Leucine-Rich α-2-Glycoprotein 1 Predicts Cardiovascular Disease Risk in End-Stage Renal Disease
  13. FP689Higher LRG-1 level is associated with low central memory T cell in ESRD
  14. Establishing a high-satisfaction website service for kidney disease prevention