PathAI, a leading company in AI-powered pathology solutions, has launched PathExplore™ Fibrosis, a groundbreaking AI tool designed to revolutionize the analysis of fibrosis, collagen, and fiber quantification in cancer research. This innovative technology operates on PathAI’s AISight® Translational Research platform and allows researchers to examine these crucial elements directly from whole-slide images (WSIs) of hematoxylin and eosin (H&E)-stained tissue.
The introduction of PathExplore™ Fibrosis marks a significant advancement in oncology translational research. By enabling the analysis of fibrosis morphology and spatial organization in the tumor microenvironment (TME) from routine pathology images, this tool provides researchers with unprecedented insights into tumor biology and therapeutic responses. This capability is particularly valuable as fibrosis and collagen fibers are increasingly recognized as important biomarkers and potential drug targets in cancer progression, metastasis, and immune response.
One of the key advantages of PathExplore™ Fibrosis is its ability to perform these analyses directly from standard H&E pathology images, eliminating the need for specialized microscopy techniques. This approach democratizes access to critical insights in tumor biology, making it easier for researchers to scale their understanding of disease mechanisms and evaluate drug efficacy.
Ben Glass, VP of Product and Translational Research at PathAI, emphasized the tool’s potential impact: ‘What began as internal research by our scientific team has evolved into a powerful tool for cancer researchers, enabling them to explore previously inaccessible aspects of tumor morphology.’ He added that the ability to study fibrosis directly from routine H&E images provides researchers with the means to scale their understanding of disease biology, evaluate drug efficacy, and drive the development of new fibrosis-related therapies.
Dr. Eric Walk, Chief Medical Officer at PathAI, highlighted the comprehensive nature of the tool, stating, ‘By combining the cell and tissue features provided by PathExplore™ with collagen and fibrosis measurements from PathExplore™ Fibrosis, researchers now have access to an unprecedented multidimensional view of the TME.’ This integration allows researchers to investigate new questions about the organization and morphology of fibrosis in the TME and its role in cancer progression.
The potential of PathExplore™ Fibrosis will be further showcased at the upcoming Society of Immunotherapy of Cancer conference (SITC 2024) in Houston, Texas. PathAI will present novel findings utilizing the tool and its underlying technology, demonstrating its practical applications in cancer research.
Two notable abstracts to be presented at SITC 2024 highlight the capabilities of PathExplore™ Fibrosis. One study, conducted in collaboration with Incendia Therapeutics, explores how stromal collagen features from H&E-stained whole slide images are associated with lymphocyte infiltration and survival following checkpoint inhibition in non-small cell lung cancer patients. Another study demonstrates how machine learning-based collagen fiber quantification enables analysis of the pancreatic cancer tumor microenvironment directly from H&E-stained whole slide images.
PathAI’s latest innovation builds upon its comprehensive precision pathology solutions, which span from wet lab services to algorithm deployment for clinical trials and laboratory use. The company’s AI-powered models, trained and validated with data from over 15 million annotations, offer the potential to improve efficiency and accuracy in pathology interpretation, as well as accelerate drug development for complex diseases.
As researchers begin to leverage PathExplore™ Fibrosis, the tool’s impact on cancer research and drug development could be substantial. By providing a more detailed and accessible means of analyzing the tumor microenvironment, PathAI’s technology may contribute to more targeted and effective cancer treatments in the future.
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