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
1
drug mechanism of action
Identify biomarker required to define subgroups of patients.
Step 1
Understand
drug mechanism of action
Click
2
inclusion criteria model
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
3
model to digitized H&E slides of trial participants
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
How do we develop interpretable AI models to identify clinically relevant biomarkers from multimodal data? [02:55]
Inclusion criteria models
Why Owkin?
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.
Interpretable AI
Allowing expert validation and continuous improvement of model performance.
AI & scientific expertise
Renowned AI expertise with # published papers in leading journals, two strategic alliances with leading biopharma companies, and AI digital pathology diagnostics.