OWKIN MODELS
Owkin models has a catalog of 70+ models built using public and Owkin Data Alliance network data. These models are available to medical researchers and life science partners through Owkin AI Drug Development Solutions. These models differ from traditional black-box models as they are built using interpretable AI, which enables us to go further in the research and identify biomarkers responsible for the predictions. The discovery of new multimodal biomarkers is essential to identify new biological targets, optimise clinical trial design using patients subgroups, and identify patients eligible for specific treatments.
Our catalog consists of three types of models: Data Enrichment, Outcome Prediction, and Patient Identification.
Data enrichment models
Intended for translational researchers and pathologists, these models connect histology with molecular markers.
Data enrichment
Productized
HE2RNA Transcriptomic Prediction
Multimodal Project
- RNA-Seq Data
- H&E Slides
Published in Nature Communications
- RNA-Seq Data
- H&E Slides
Published in Nature Communications
Outcome prediction models
Intended for translational researchers, development leaders and commercial officers, these models can be implemented across all stages of the clinical drug development process to enhance clinical trial design and evaluation, as well as to optimize product strategy. In addition to the Oncology models outlined below, we also have various models for hematology and autoimmune diseases such as IBD and Lupus.
Outcome prediction
Productized
Meso-Net Predicting survival in Mesothelioma
Predicting Prognosis
- H&E Slides
- H&E Slides
Outcome prediction
Ongoing
Predicting prognosis and treatment response in Melanoma
Federated Project
Multimodal Project
- Dermoscopy Images
- H&E Slides
Multimodal Project
- Dermoscopy Images
- H&E Slides
Outcome prediction
Ongoing
HCC-Net Predicting prognosis and treatment response in HCC
Multimodal Project
- H&E Slides
- Radiology MRIs
- H&E Slides
- Radiology MRIs
Outcome prediction
Ongoing
Predicting relapse in Breast Cancer
Federated Project
- H&E Slides
- H&E Slides
Patient identification models
Intended for commercial leaders and precision medicine heads, these models identify patients that would benefit from a specific treatment.