Natural Language Processing makes sharing cancer mineable and, therefore, more usable for research and clinical action.
We’re very pleased to present the findings of this study demonstrating that Inspirata’s NLP system is able to facilitate rapid development of biomedical information retrieval resources with a high degree of accuracy.
Pittsburgh, PA (PRWEB) May 22, 2017
Cancer diagnostics and pathology workflow solution provider Inspirata®, Inc. announced today that it is exhibiting in booth B2 at the Association for Pathology Informatics Annual Summit at the Wyndham Grand Hotel Downtown, in Pittsburgh, May 22-25.
In addition to demonstrating its Cancer Diagnostic Cockpit and Consultation Portal, Inspirata will present research it led to help extract and mine critical cancer case information from surgical pathology, cytopathology and molecular testing reports. These reports are primarily narrative free text, which means the information they contain cannot be accessed through case retrieval systems used in modern pathology informatics. The collaborative research study being presented describes the high accuracy of the Natural Language Processing (NLP) system that Inspirata is developing to provide a reliable way to identify and extract biomedically relevant information in cancer case reports.
“We’re very pleased to present the findings of this study demonstrating that Inspirata’s NLP system is able to facilitate rapid development of biomedical information retrieval resources with a high degree of accuracy,” says Inspirata Executive Vice President and Founder, Mark Lloyd, PhD. He led the study with collaborators from a range of academic medical centers, including the Ohio State University’s James Cancer Center, and the University of Michigan. Inspirata’s Senior Programmer and Informatics Analyst, Richard Long, also significantly contributed to the study.
“Our system is able to correctly match a high percentage of pathology concepts and words extracted from a wide variety of document source formats,” continues Lloyd. “This data can then be leveraged for linguistic manipulation, named-entity recognition, negation detection and classification.”
Several members of Inspirata’s Strategic Advisory Board (SAB) also are presenting at the Pathology Informatics Summit. This includes Inspirata’s Chief Strategy Officer and SAB Chair, Ulysses J. Balis, MD, who is one of the Summit organizers and co-presenting “The Emerging Democratization of High-Performance Computing in the Cloud in Support of Whole Slide Imaging.” Other Inspirata SAB members presenting at the Summit include Anant Madabhushi, PhD, who is presenting “Pathomics: Predicting Disease Presence, Diagnosis, and Prognosis via Computational Pathology;” Michael Feldman, MD, PhD, who is presenting “Recent Insights on Whole Slide Imaging Non-Inferiority Diagnostic Performance;" and John Gilbertson, MD, who is presenting “Computational Pathology in AP: Importance, Structure and Operations.”
About Pathology Informatics
The Pathology Informatics Summit 2017 is the 27th sequential year of a conference legacy resulting from the merger of two longstanding and successful previous conference series: APIII and Lab InfoTech Summit/AIMCL. All together, these two prior meetings, along with the PI Summit series, have offered a total of nearly 40 years of excellence in Pathology Informatics instruction and scholarly exchange for the pathology specialty. The conference is brought to you by the Association for Pathology Informatics, in partnership with conference director and co-director, Ulysses J. Balis and J. Mark Tuthill. For more information, visit http://www.pathologyinformatics.com.
About Inspirata, Inc.
Inspirata®, Inc. offers the most comprehensive cancer diagnostics workflow solution available for precision diagnosis today. The solution, which employs a unique “solution-as-a-service” business and delivery model, accelerates anatomic and molecular pathology workflows and facilitates whole slide imaging and image analytics, prognostic and predictive assays, remote consultations and tumor boards. This comprehensive solution includes an Enterprise Service Bus (ESB) to help to solve interoperability issues and a Natural Language Processing Engine (NLP) for structuring data. Inspirata amalgamates this structured data into a central multi-institutional and multi-modal big data cancer repository for clinical, research and educational purposes. Its use will extend to physicians, patients, researchers and pharma among others. This comprehensive solution facilitates a modern precision diagnosis to build a strong foundation for precision medicine. For more information, please visit http://www.inspirata.com or contact info(at)inspirata(dot)com.