Hao Liu
4
0
0
4
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0 terminated/withdrawn out of 4 trials
100.0%
+13.5% vs industry average
0%
0 trials in Phase 3/4
0%
0 of 4 completed trials have results
Key Signals
Enrollment Performance
Analytics
Activity Timeline
Global Presence
Clinical Trials (4)
Development and Validation of Interpretable Machine Learning Models Incorporating Paraspinal Muscle Quality for to Predict Cage Subsidence Risk Followingposterior Lumbar Interbody Fusion
Role: lead
Multivariate Analysis and Risk Factors Were Used to Predict the Short-term Postoperative Pain of Degenerative Lumbar Spine
Role: lead
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
Role: lead
Correlation Between Popliteal Vein Compliance and Venous Clinical Severity Score
Role: lead
All 4 trials loaded