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Aignostics and PanCAN Join Forces to Propel Pancreatic Cancer Research

Aignostics, a pioneering company in the field of artificial intelligence-driven pathology, has recently forged a significant new partnership with the Pancreatic Cancer Action Network (PanCAN). This collaboration aims to harness Aignostics' advanced artificial intelligence technology to analyze one of the most comprehensive pancreatic cancer datasets available.

The project at hand will involve the application of Aignostics’ spatial profiling tool, Atlas HE-TME, in conjunction with the SPARK platform provided by PanCAN. This initiative promises to facilitate the generation of spatial profiling readouts that can offer fresh insights into the biology of pancreatic cancer. Aignostics’ sophisticated tool can perform quality assessments of tissues, classify cells, and meticulously segment tissue, yielding over 4,500 quantitative measurements from a single image.

Understanding pancreatic cancer remains a formidable challenge in the medical community, as progress in treatment efficacy has only been modest over the past few decades. Historically, the deeply immunosuppressive nature of the disease has hindered the success of emerging therapies. Through the integration of Atlas HE-TME with PanCAN's extensive dataset, researchers are presented with innovative resources to decode the underlying biology of this complex cancer type and to ultimately improve patient outcomes.

Viktor Matyas, CEO of Aignostics, expressed pride in contributing to the SPARK initiative, stating, "PanCAN has created something truly remarkable with SPARK, and we are thrilled to enhance its capabilities for researchers. Expanding access to high-quality spatial profiling data is critical to our mission of turning complex pathological data into actionable insights for patients."

Meanwhile, Sudheer Doss, PhD, Chief Business Officer at PanCAN, emphasized the importance of combining AI tools with accessible data sets. He stated, "This collaboration brings powerful AI capabilities to the SPARK dataset, transforming intricate data into valuable biological information that can catalyze improvements in patient outcomes. By adding spatial information to this multimodal dataset, we can better understand tumor development and interactions with their microenvironments, potentially unveiling new avenues for treatment discoveries."

About Aignostics

Aignostics specializes in transforming complex pathological data into essential information that drives pivotal advancements in precision medicine. By leveraging exclusive access to multimodal clinical data, industry-leading technologies, and rigorous scientific methodologies, Aignostics is at the forefront of creating cutting-edge products and services that serve the next generation of medical precision.

The Atlas HE-TME platform offers a user-friendly, self-service approach enabling detailed profiling of the tumor microenvironment from high-resolution images. Aignostics also promotes broader academic collaboration through its OpenTME initiative, providing open access to spatial profiling datasets and offering specific research support for qualified academics.

Founded in 2020 as a spin-off from Charité Berlin, Aignostics boasts operations in both Berlin and New York.

About PanCAN

The Pancreatic Cancer Action Network (PanCAN) is a leading organization dedicated to changing outcomes for pancreatic cancer through research, patient support, and advocacy. By uniting individuals within the pancreatic cancer community, PanCAN endeavors to create a world where survival rates for this aggressive cancer are significantly improved. The organization empowers patients and caregivers with resources and knowledge necessary for effective advocacy in receiving quality care. Additionally, PanCAN is committed to pioneering early detection strategies and revolutionizing personalized treatment approaches while actively mobilizing the pancreatic cancer sector to ensure better outcomes for current and future patients.

For more information on accessing the SPARK dataset, please visit PanCAN's Data Access Page.