Sai Pan

Introduction

About Me

I am an Attending Physician at the PLA General Hospital, specializing in nephrology with a focus on artificial intelligence applications in kidney disease diagnosis and prognosis.

My research integrates cutting-edge AI technologies with clinical nephrology, developing innovative multi-modal diagnostic systems for IgA nephropathy, diabetic nephropathy, and other kidney diseases. I lead multiple national-level research projects funded by NSFC and Beijing Natural Science Foundation.

As a recipient of the China Association for Science and Technology Young Elite Scientist Sponsorship Program (YESS), I am committed to advancing precision medicine through federated learning, pathomics, and deep learning approaches.

Active NSFC Projects

First-Author Publications

Patents Filed

Research & Funding

Research Projects

2026.01 - 2028.12

National Natural Science Foundation of China (NSFC) - Youth Project

Grant No. 82500943

Role: Principal Investigator | Funding: ¥300,000

Research on Federated Learning-Based Multi-modal Precision Diagnosis and Dynamic Prognosis Prediction System for IgA Nephropathy

2024 - Present

China Association for Science and Technology (CAST)

Young Elite Scientist Sponsorship Program (YESS)

Grant No.: YESS20240790 | Funding: ¥300,000

2024.01 - 2025.12

Beijing Natural Science Foundation - Youth Project

Grant No. 7244305

Role: Principal Investigator | Funding: ¥200,000

Research on IgA Nephropathy Diagnosis and Progression Risk Prediction Based on Pathomics and Multi-modal Data with Artificial Intelligence

2023 - Present

PLA General Hospital First Medical Center

Young Rising Star Talent Program

Funding: ¥150,000

Research Output

Selected Publications

Representative publications demonstrating expertise in AI-driven nephrology, multi-modal medical imaging, and precision medicine

Co-first Author

A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging

Dong Z, Wang X, Pan S*, Weng T, Chen X, et al. (*Co-first author)

npj Digital Medicine, 2025

Developed a novel transformer-based AI system that enables non-invasive diabetic nephropathy diagnosis through retinal imaging analysis, demonstrating the power of multi-modal approaches in precision medicine.

First Author

A multi-task deep sequential neural network for IgA nephropathy Oxford classification and prognosis prediction

Pan S, Fu Y, et al.

International Journal of Medical Informatics, 2025; 204:106052

Created an innovative multi-task deep learning framework for simultaneous Oxford classification and prognosis prediction in IgA nephropathy, advancing precision diagnostics in kidney disease.

Co-first Author

Multi-Task Learning-Based Immunofluorescence Classification of Kidney Disease

Pan S*, Fu Y*, Chen P, Liu J, Liu W, Wang X, et al. (*Co-first author)

International Journal of Environmental Research and Public Health, 2021; 18(20):10798

Pioneered multi-task learning approaches for automated immunofluorescence classification in kidney pathology, enabling more efficient and accurate diagnostic workflows.

First Author

Relationships among the Dosage of Erythropoiesis-Stimulating Agents, Erythropoietin Resistance Index, and Mortality in Maintenance Hemodialysis Patients

Pan S, Zhao D, Li P, Sun X, Zhou J, et al.

Blood Purification, 2022; 51(2):171-181

Investigated critical relationships between ESA dosing, EPO resistance, and patient outcomes in hemodialysis populations, providing evidence for optimized treatment strategies.

First Author

Local hepcidin increased intracellular iron overload via the degradation of ferroportin in the kidney

Pan S, Qian Z, Cui S, Zhao D, Lan W, Wang X, Chen X

Biochemical and Biophysical Research Communications, 2020; 522(2):322-327

Elucidated the molecular mechanisms of iron metabolism in kidney tissue, demonstrating how local hepcidin regulates ferroportin degradation and contributes to iron overload pathophysiology.

Innovation

Patents & Software

System and device for predicting diabetic nephropathy prognosis based on weighted quantile regression (CN 202411874049.X)
Renal function prediction method, device, equipment, medium and program product (CN 202310274193.9)
Multi-modal kidney pathology image processing method and device (CN 202410507490.8)
Method and system for predicting diabetic nephropathy based on fundus vascular geometric parameters (CN ZL202410281615.X)
National Blood Dialysis Quality Control Analysis Platform Software V1.0 (2019SR1192188)
National Peritoneal Dialysis Quality Control Analysis Platform Software V1.0 (2019SR1192189)

About Me

Education

Doctor of Philosophy (Ph.D.)

PLA General Hospital Graduate School

Master of Medicine

PLA General Hospital Graduate School

Bachelor of Medicine

Wuhan University

Research Projects

National Natural Science Foundation of China (NSFC) - Youth Project

Grant No. 82500943

China Association for Science and Technology (CAST)

Young Elite Scientist Sponsorship Program (YESS)

Beijing Natural Science Foundation - Youth Project

Grant No. 7244305

PLA General Hospital First Medical Center

Young Rising Star Talent Program

Selected Publications

A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging

A multi-task deep sequential neural network for IgA nephropathy Oxford classification and prognosis prediction

Multi-Task Learning-Based Immunofluorescence Classification of Kidney Disease

Relationships among the Dosage of Erythropoiesis-Stimulating Agents, Erythropoietin Resistance Index, and Mortality in Maintenance Hemodialysis Patients

Local hepcidin increased intracellular iron overload via the degradation of ferroportin in the kidney

Patents & Software

Contact

Let's Connect

Institution

Research Interests

Funding