Proscia®, a leader in AI-powered pathology solutions, has launched Concentriq® Embeddings and the Proscia AI Toolkit to speed up the discovery of new therapies and diagnostics. Integrated into the Concentriq platform, these tools provide pathology and data science teams with advanced models like DINOv2, PLIP, ConvNext, and CTransPath to generate high-dimensional embeddings from whole slide images. This enables rapid prototyping and large-scale AI model development for tasks such as image classification, biomarker discovery, and risk scoring.
The seamless integration of Concentriq Embeddings with existing data infrastructure eliminates the need for data migration or external processing, allowing researchers to instantly access pathology data and significantly cut development time. This streamlines AI experimentation, helping organizations accelerate the creation of clinically viable models. In a recent pilot program, researchers developed AI-based breast cancer biomarker prediction models 13 times faster, reducing the development timeline from weeks to hours.
Proscia’s AI Toolkit complements Concentriq Embeddings, offering open-source resources like a Python client, tutorials, and helper functions to support AI model building and deployment. This toolkit fosters collaboration within the life sciences community, enabling developers to share innovations and expand the toolkit with new techniques.
By accelerating AI adoption and innovation in digital pathology, Proscia’s Concentriq Embeddings and AI Toolkit empower researchers to achieve breakthroughs faster, paving the way for transformative advancements in both medical research and patient care. Proscia aims to drive a new era where AI enables faster, more accurate diagnostics and treatment development, potentially reaching patients worldwide.