SpIntellx is ushering a new era of unbiased spatial analytics and explainable AI in precision pathology at AACR 2022 SpIntellx announces that it will attend the 2022 Annual Meeting of American Association for Cancer Research in New Orleans, April 9-13, Booth # 3028 and Poster # 454 to present their precision pathology platforms, TumorMapr™ for […]
Thank you to everyone who visited our booth during the 2022 United States & Canadian Academy of Pathology (USCAP) 111th Annual Meeting in Los Angeles. It was great connecting with so many pathology professionals and getting their encouraging feedback on our precision pathology platforms, #HistoMapr™ and #TumorMapr™, that deliver unbiased spatial analytics and explainable AI […]
SpIntellx announces that it will attend the 111th United States and Canadian Academy of Pathology Annual Meeting in Los Angeles March 19-24, Booth # 334 to present their precision pathology platforms, HistoMapr™ for transmitted light applications and TumorMapr™ for multiplexed/hyperplexed fluorescence and mass spectrometry imaging based on unbiased spatial analytics and explainable AI that answers […]
We are pleased to announce the publication of a proprietary, unbiased, automated and spatial analytics driven functional cell phenotyping approach in the September 2021 issue of Cell Reports Methods journal. The paper is publicly accessible from this link: https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(21)00124-7 Read more
Read our whitepaper to learn how the HistoMapr™ Software Analytical Platform with unbiased spatial analytics and explainable artificial intelligence (xAI) is extracting information and creating knowledge from transmitted light image datasets to address the unmet pathology needs of improving efficiency and accuracy of clinical workflows, biopharma discovery and development programs, and precision medicine including clinical […]
Read our whitepaper to learn how the TumorMapr™ Software Analytical Platform with unbiased spatial analytics and explainable artificial intelligence (xAI) is extracting information and creating knowledge from multi to hyperplexed fluorescence and/or mass spectrometry image datasets. SpIntellx provides TumorMapr-Basic™ and TumorMapr-Advanced™ as a pipeline of critical solutions to the current challenges for precision medicine applied […]
Join us at American Association for Cancer Research (AACR) Annual Meeting 2021 Our Poster #3172 focuses on in-situ functional cell phenotyping to reveal microdomain networks in colorectal cancer recurrence.
Innovation Works and Allegheny Health Network announced the inaugural class of AlphaLab Health, a newly created business accelerator the two organizations launched this year to provide promising health-care and life-sciences businesses with the resources and support they need to grow and thrive. We are proud to be part of this inaugural class!
SpIntellx launches TumorMapr-Basic™ software to process and quantitate multiplexed and hyperplexed image datasets based on either fluorescence or mass spec for rapid and basic measurements. This complements the existing TumorMapr-Advanced™ spatial analytics and explainable AI (xAI) software for developing prognostic/diagnostic tests, drug target identification, clinical trial stratification and personalized therapeutic strategies using computational and systems […]
Access paper: https://doi.org/10.1101/2020.10.02.322529 This paper shows how to build a data-driven and computationally unbiased phenotypic hierarchy of cell types, cell states, and their spatial configurations from multi to hyperplexed tissue samples to characterize spatial intratumor heterogeneity, discover recurrence-associated microdomains, and harness spatial network biology for precision medicine applications. This work in combination with our Nature […]