Seamlessly leverage leading foundation models to accelerate AI development with Concentriq® Embeddings. Empower data science and AI teams to rapidly build high-performing AI algorithms at scale, advancing the discovery and development of diagnostics and therapies.
BLOG: Foundation Models for Pathology AI Development at your Fingertips 
Harness the power of foundation models to unlock AI-driven therapeutic R&D
Foundation models are revolutionizing AI development by transforming complex images into embeddings — numerical representations of an image’s essential features — that serve as an ideal starting point for building downstream models.
Concentriq Embeddings ensures data science and AI teams can easily leverage this powerful technology by connecting a suite of leading pathology and vision foundation models directly to the Concentriq platform where the enterprise’s pathology data is stored, enriched and analyzed.
This foundation model API empowers life sciences organizations to unlock the potential of their pathology data, driving faster AI-enabled precision medicine breakthroughs from biomarker discovery and safety endpoint assessments to clinical trial stratification and beyond.
Get more from foundation models with Concentriq
Reduce AI development time from weeks to hours
Efficiently leverage leading foundation models to rapidly build, iterate, and refine computational pathology algorithms that power critical drug discovery and development capabilities.
Deliver AI at the scale needed to drive faster, smarter R&D at every stage—from novel target identification to clinical trial optimization and beyond—ultimately helping bring life-changing therapies to patients sooner.
Image: Ella Marushchenko
Leverage a variety of foundation models to improve AI output
As the landscape of foundation models — and the downstream tasks they support — continues to evolve, adaptability is key. With Concentriq Embeddings, data scientists can easily test and swap foundation models to quickly find the best fit for specific datasets and applications.
This flexibility enables the development of high-performing models across a wide range of use cases and supports ensemble approaches, which combine features from multiple foundation models to improve downstream performance.
By leveraging the initial four foundation models in Concentriq Embeddings in parallel, data scientists built 80 models in under 24 hours to detect breast cancer biomarkers.
Reinvest computational savings into meaningful AI transformation
Eliminate time-consuming tasks typically required to manage foundation models, such as manual data transfers, external processing, pipeline maintenance and image format standardization. Combined with significantly reduced infrastructure costs, these data science and computational efficiencies can save life sciences organizations millions of dollars.
Beyond cost savings, data scientists and AI/ML engineers can focus on the complex, high-value aspects of AI development—enabling them to explore more hypotheses and deliver AI-driven insights and tools to the R&D organization faster, ultimately accelerating progress in drug discovery and development.
CASE STUDY
Biomarker prediction AI models built 13x faster with Concentriq Embeddings
Discover how Proscia’s AI R&D team leveraged foundation models at scale to build 80 breast cancer biomarker prediction models in under 24 hours.
Proscia is your partner for
building, deploying and delivering novel AI
The data and tools to build
Concentriq centralizes pathology data and R&D workflows, creating an accessible, enriched data foundation for AI development. Augment this data with Proscia’s high-quality, diverse real-world data and—with Concentriq Embeddings—transform image data into quantitative features that integrate with other data types and help build AI models faster.
The platform to deploy in R&D
Incorporate proprietary AI models into the image analysis workflows on Concentriq to accelerate and enhance the R&D lifecycle from biomarker discovery to clinical trial execution. Use the data generated and enriched in Concentriq through everyday workflows to continuously iterate and improve AI models.
The network to deliver
Streamline the pathway to approval for precision therapy AI-based biomarkers and diagnostics by conducting pathology workflows for late-stage clinical trials using a platform with regulated components already on the market for diagnostic use. Leverage Proscia’s global network of diagnostic labs and health systems to access key markets and expand commercial reach.
“By integrating H-optimus-0 into Concentriq Embeddings, Proscia’s users now have access to a powerful tool that accelerates AI model development and drives breakthroughs not only in precision medicine, but also for therapeutic research and development.”
David Cahané, Co-Founder and General Manager at Bioptimus
PROSCIA AI TOOLKIT
Libraries and tools for working with Concentriq Embeddings
Get started quickly with Concentriq Embeddings using the open-source Proscia AI Toolkit. Access an extensive set of resources, including a Python client for seamless API use, in-depth tutorial articles with corresponding Python code in Jupyter Notebooks, and a growing library of Python helper functions for tasks such as image tiling and organizing API outputs.
More Concentriq Embeddings and AI Development Resources
Press Release
OCT. 23, 2024: Bioptimus And Proscia Collaborate To Accelerate AI Innovation In Scientific Research And Drug Development For Improved Patient Care
Blog
The Hidden Costs of AI Development in Pathology and How Concentriq Embeddings Helps Life Sciences Organizations Mitigate Them
See Concentriq Embeddings in Action
Schedule a live demo to explore how an enterprise pathology platform integrated with foundation models can advance precision medicine programs in your organization.