Predictive Cancer Model
21
5
9
5
Key Insights
Highlights
Success Rate
100% trial completion (above average)
Clinical Risk Assessment
Based on trial outcomes
Moderate Risk
Score: 50/100
0.0%
0 terminated out of 21 trials
100.0%
+13.5% vs benchmark
5%
1 trials in Phase 3/4
0%
0 of 5 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.5%
Based on 5 completed trials
Clinical Trials (21)
Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer
A Clinical Prospective Study to Validate a Risk Scoring Model for the HMGC After Curative Surgery
A Prospective Clinical Study to Validate a Preoperative Risk Scoring Model for LNM in GC Patients
The Value of a Risk Prediction Tool (PERSARC) for Effective Treatment Decisions of Soft-tissue Sarcomas Patients
Prognostic Evaluation Prediction Model Survival Spinal Epidural Metastases
Liquid Biopsy (ctDNA) Guided Treatment in Localized Pancreatic Cancer: Neoadjuvant CTX vs. Upfront Surgery
Predicting Tumor Metastasis by Employing a Target Organ/Primary Lesion Fusion Radiomics Model
Exploratory Study on the Therapeutic Effect Prediction Model of Advanced BTC Immunotherapy
Generation and Validation of Predictive Models for Localized Prostate Cancer Treated With External Radiotherapy.
Predicting Biomarker of Gastric Cancer Chemotherapy Response
A Preoperative Model to Predict the Lymphovascular Invasion in Pancreatic Ductal Adenocarcinoma
Innovative Approach to Detect Recurrent Colorectal Lesions With Surveillance Via Mutation Analysis & Clinical Phenotype
KM3D Multicenter Cancer Consortium: Predicting Patient Response Using 3D Cell Culture Models
COLO-COHORT (Colorectal Cancer Cohort) Study
Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC
Radiomics of Immunotherapeutics Response Evaluation and Prediction