Inclusion criteria models

Identifying subgroups of patients for clinical trials

Inclusion criteria models help define patient subgroups to improve trial recruitment

Question

How to include the right patient subgroups in my phase II/III trials to increase success rates? 

Using AI models to select subgroups of patients for your trial will enable precision trials with comprehensive characterization of patient populations for accelerated enrolment. 

Owkin’s solution 

Inclusion criteria models

Owkin’s inclusion criteria models increase the probability of phase II/III trial success through better defined patient populations

Methodology

Click
Next
Step 1
1
Understand
drug mechanism of action
Down
Identify biomarker required to define subgroups of patients.
Step 1
Understand
drug mechanism of action
Click
Next
Step 2
2
Select/build
inclusion criteria model
Down
Either choose existing Owkin model to select patients or build bespoke model from multimodal patient data to identify the right patient population.
Step 2
Select/build
inclusion criteria model to select patients
Click
Next
Step 3
3
Apply
model to digitized H&E slides of trial participants
Down
Select specific patient population for trial recruitment most likely to respond to treatment.
Step 3
Apply model
to digitized H&E slides to select participants
Case study
Video
How do we develop interpretable AI models to identify clinically relevant biomarkers from multimodal data?

Inclusion criteria models

Why Owkin?

Digital pathology based models
Digital pathology based models

Ability to access and leverage routine digital pathology images in our AI models to prevent expensive and time consuming screening techniques. 

AI
Interpretable AI

Allowing expert validation and continuous improvement of model performance.

AI & scientific expertise icon
AI & scientific expertise 

Renowned AI expertise with # published papers in leading journals, two strategic alliances with leading biopharma companies, and AI digital pathology diagnostics.

Case study