Ma Zhe
8
0
0
8
Key Highlights
Risk & Performance
Pipeline Risk Assessment
Pipeline Risk Assessment
Based on historical performance
Moderate Risk
Score: 45/100
0.0%
0 terminated/withdrawn out of 8 trials
100.0%
+13.5% vs industry average
0%
0 trials in Phase 3/4
0%
0 of 8 completed trials have results
Key Signals
Enrollment Performance
Analytics
Activity Timeline
Global Presence
Clinical Trials (8)
Application and Evaluation of Vision-LSTM Modeling in Diagnostic Ultrasound Imaging of TI-RADS Category 4b Thyroid Nodules
Role: lead
Application and Impact Assessment of Ultrasound Super-Resolution Blood Flow Imaging (URM) in Patients With Renal Failure
Role: lead
Radiomics Model Based on DCE-MRI and Ultrasound Images for Breast Lesion Classification
Role: lead
A Clinical Study of Ultrasound-derived Fat Fraction to Assess Metabolic Dysfunction-Associated Steatotic Liver Disease
Role: lead
Using Deep Learning and Radiomics to Diagnose Benign and Malignant Breast Lesions Based on Ultrasound
Role: lead
The Application Value of Deep Learning-Based Nomograms in Benign-Malignant Discrimination of TI-RADS Category 4 Thyroid Nodules
Role: lead
Multimodal Ultrasound Diagnosis Characteristics of Bi-rads Class 4 Breast Lesions
Role: lead
Patients Who Underwent Thyroid Ultrasonography at Our Institution Were Selected for Shear Wave Elastography of Thyroid Nodules, and the Maximum and Mean Values of the Modulus of Elasticity of the Nodules in Transverse and Longitudinal Sections Were Analyzed.
Role: lead
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