Generate hypotheses and independently develop downstream applications
Response prediction, biomarker discovery, prognosis assessment, and pathological feature identification even with minimal data.
AI-Driven Hypothesis Generation
Accelerating Clinical Trials & Drug Development
Train
Upload your cohort and train a prediction model in minutes
Explore
Generate unlimited hypotheses and explain your prediction
Enrich
Deploy your model on real-world data to enrich your analysis
A new standard for precision and versatility
in oncology research
Fast, user-friendly, and data-
efficient OI supporting precision
medicine and research at scale.
Accelerate your research by empowering the entire team with AI-driven hypothesis generation.
Boost research efficiency with up to 85% gains in productivity, cost savings, and speed.
Independently develop
downstream applications within
minutes, even with minimal data.
Utilize our comprehensive data
to train, interpret, validate, and
enhance model predictions.
Usable at all levels of machine
learning proficiency, and available
as a cloud, or on-prem solution.
A new standard for precision and versatility in oncology research
Fast, user-friendly, and data-
efficient OI supporting precision
medicine and research at scale.
Accelerate your research by empowering the entire team with AI-driven hypothesis generation.
Boost research efficiency with up to 85% gains in productivity, cost savings, and speed.
Independently generate
downstream applications within minutes, even with minimal data.
Utilize our comprehensive data to train, interpret, validate, and enhance model predictions.
Usable at all levels of machine learning proficiency, and available as a cloud, or on-prem solution.
Designed to Decode Cancer from Biopsy Images
Developed in partnership with Oracle & Ellison Medical Institute
A state-of-the-art Oncology Intelligence foundation model reduces the complexity of working with biopsy images by utilizing compressed representations. This scalable, generalizable, and versatile backbone enables the rapid development of downstream tasks, including applications from diagnosis to drug biomarker strategies.
Tissue samples
Tissue
tiles
Organs & tissue types
Sourced sites
Model parameters
CanvOI achieved industry leading performance across breast, colorectal and lung cancer related tasks.
Achieving up to 20% higher
performance compared to other
models when using limited data.
CanvOI achieved industry leading performance across breast, colorectal and lung cancer related tasks
Achieving up to 20% higher
performance compared to other
models when using limited data
FAQs
What is a Foundation Model?
A foundation model is a highly sophisticated machine learning model pre-trained on extensive datasets, designed to capture complex patterns and representations. While general-purpose in nature, these models can be adapted for specific domains, such as pathology, where they leverage vast histopathological datasets to enable applications like cancer detection, tumor classification, biomarker identification, and treatment response prediction. By providing a robust starting point, foundation models streamline the development of high-performing applications efficiently and cost-effectively, accelerating innovation in fields like oncology and personalized medicine.
How is it different from any AI model?
Unlike traditional AI models, which typically rely on supervised learning with large amounts of labeled data for specific tasks, foundation models are pre-trained on diverse, extensive datasets that serve as a large knowledge base. This exposure allows them to recognize complex patterns and generalize across a wide variety of inputs, enabling them to be fine-tuned for specific downstream applications with significantly less labeled data.
What can I do with OI Suite?
OI Suite is a SaaS enterprise solution designed to streamline drug development and clinical trial processes through a friendly and intuitive interface. At its core is our state-of-the-art Oncology Intelligence Foundation Model—a scalable, versatile, and generalizable backbone for a wide range of oncology applications, from diagnosis to drug biomarker strategies.
With OI Suite, you can upload a labeled cohort of interest, ask diverse questions – such as predicting patient outcomes, identifying predictive biomarkers and train models using limited data in just minutes. Additionally, the platform integrates real-world data to enrich your analyses, enabling you to uncover new and meaningful insights.
Do I need to be an AI expert to use OI Suite?
You don’t need to be an AI expert to use OI Suite. The platform is designed with an intuitive interface, making it accessible to users at all levels of machine learning proficiency. Offered under a subscription model, OI Suite provides flexibility with deployment options, available as a cloud, hybrid, or on-premises solution.