Patient Stratification Models

Predict responder vs non-responder subgroups and optimize inclusion/exclusion criteria

8

Active Models

87.3%

Avg Prediction Accuracy

14

Subgroups Identified

+22%

Response Rate Improvement

Biomarker Response Predictor

Predicts treatment response based on baseline biomarker profiles

NCT-2024-045
Active
Prediction Accuracy91.2%

Features

12

Subgroups

3

Genomic Stratification Model

Identifies responder groups using genomic variant patterns

NCT-2024-038
Active
Prediction Accuracy87.5%

Features

24

Subgroups

4

Clinical Phenotype Classifier

Stratifies patients by clinical characteristics and comorbidities

NCT-2024-052
Training
Prediction Accuracy84.3%

Features

18

Subgroups

5

Multi-Omics Integration

Combines genomic, proteomic, and metabolomic data

NCT-2024-061
Active
Prediction Accuracy93.8%

Features

156

Subgroups

6