Research

Industry-Academia-Research Collaboration

Building a research ecosystem with top hospitals to enable IP sharing and research commercialization

30+
SCI Papers
25+
Patents
15+
PhD Team
10+
Research Projects
RESEARCH AREAS

Core Research Areas

AI Medical Imaging Analysis

Rapid identification of disease features in fundus, CT, MRI and other medical images to assist physician diagnosis

✨ 12 SCI papers published, 8 patents granted

Biomedical Data Intelligence

Multi-omics data integration and analysis, precision medicine data mining

✨ Million-scale biological sample database established

COOPERATION MODEL

More Than Technology — A True Research Partner

Our collaboration with hospitals goes beyond technology services — it is deep research partnership. Through IP sharing, academic capacity building, and commercialization support, we jointly drive innovation and development in medical AI.

IP Sharing

Contractually guaranteed: all invention patents, SCI papers, and results generated through collaboration are jointly owned

Joint Patents
Co-authored SCI Papers
Result Sharing

Academic Capacity Building

Assist hospitals in applying for research grants, nurture AI-plus-medicine talent, and elevate academic standing and influence

Provincial Research Funding
Team Development
Academic Impact Growth

Commercialization Support

A complete research-to-market system spanning clinical application to strategic planning

Clinical Value: End-to-end closed-loop management
Research Value: Multimodal database
Strategic Value: Future data assets
BENCHMARK CASES

Benchmark Cases: Deep Research Collaboration with Top Hospitals

We have established deep collaboration with leading Tier-3A hospitals including Northern Jiangsu People's Hospital, Shanghai Chest Hospital, Zhejiang Provincial Hospital of Traditional Chinese Medicine, and the Women and Children's Hospital Affiliated to Ningbo University, jointly exploring intelligent new models in chronic disease management, cardiovascular prediction, TCM-AI integration, and pediatric ophthalmology screening.

Jiangsu Provincial People's Hospital

Top Tier-3A General Hospital in Jiangsu
AI-Based Cardiovascular Risk Assessment
Multimodal Fusion Modeling

Multimodal Data Cardiovascular Risk Prediction Model

Integrating fundus imaging, biochemical markers, and electronic health records into a high-precision cardiovascular risk prediction model for non-invasive, early, and accurate cardiovascular event risk stratification

Multimodal Data Fusion: Integrating fundus imaging, lipids, blood pressure, HbA1c and other multi-dimensional clinical data
Risk Stratification Prediction: AI model for precise risk grading of major cardiovascular events including MI and stroke
Clinical Decision Support: Real-time personalized intervention recommendations to assist cardiologists in optimizing treatment decisions

Northern Jiangsu People's Hospital

Top Tier-3A Hospital in Jiangsu
Jiangsu CDC Technology Program 2026

Chronic Disease Full-Cycle Management Platform

Construction and clinical validation of a future-oriented AI-based full-cycle chronic disease management platform

Early Chronic Disease Screening: AI algorithm meeting provincial research project standards
Risk Stratification Management: Enabling precise stratification and personalized intervention
Clinical Closed-Loop Validation: Real-world validation of the full-cycle management model
Clinical Research Collaboration

Hyperlipidemia Complication Management

Development of new intelligent management technologies for hyperlipidemia complications: screening, diagnosis, prevention, and treatment

Intelligent Screening: AI-assisted identification of high-risk hyperlipidemia populations
Precision Diagnosis: Early complication warning and graded management
Closed-Loop Treatment: Full-process intelligence from prevention to treatment

Shanghai Chest Hospital

Leading Cardiothoracic Specialty Hospital
Cardiovascular Disease AI Early Warning
Non-invasive Screening Technology

Coronary Heart Disease AI Screening

High-risk population screening system for coronary heart disease based on fundus imaging

Non-invasive Screening System: A single fundus photo enables precise screening of high-risk CHD populations
High-Risk Identification: AI-assisted identification of CHD risk factors and early warning
Clinical Validation: Multi-center clinical validation completed in collaboration with cardiology

Zhejiang Provincial Hospital of Traditional Chinese Medicine

TCM Modernization Benchmark
TCM-AI Fusion Innovation
Bai's Ophthalmology "Blood Stasis" Formula

RVO Multimodal TCM Syndrome Differentiation AI System

Research on AI-assisted syndrome differentiation based on multimodal diagnosis fusion — applied to retinal vein occlusion (RVO)

Multimodal Database: Integrating TCM syndromes, OCTA imaging and other multi-source data to build a standardized knowledge base
Intelligent Syndrome Differentiation: Fusing tongue appearance, pulse characteristics, and imaging features for intelligent syndrome recognition and personalized treatment
Clinical Efficacy Validation: RCT validation of the "invigorate blood circulation" formula's improvement of retinal blood flow density

Women and Children's Hospital Affiliated to Ningbo University

Pediatric Ophthalmology AI Pioneer
Pediatric Ophthalmology AI Screening
From Academic Research to Clinical Practice

Pediatric Retinal Disease AI Screening System

Deep learning-based intelligent screening and early warning system for retinopathy of prematurity (ROP) and retinoblastoma

Intelligent ROP Staging: Automatic Plus disease identification with accuracy above 95%
Retinoblastoma Early Screening: AI-assisted detection to prevent missed diagnoses and enable timely referral
Remote Consultation System: Primary hospitals upload images for AI pre-screening and expert review

Start Your Research Partnership

Our research team is ready to work alongside you to drive medical innovation and breakthroughs

Response within 3 business days | NDA confidentiality protection | Flexible partnership models