AACR Annual Meeting 2022

At this year’s AACR annual meeting, PathAI will be sharing six posters featuring new research and innovative applications of AI-powered digital pathology. We’re excited to see the promising implications these findings will have for improving the diagnosis and treatment of different cancer types.


Learn more about our presentations and posters below.

April 8 – 13, 2022

New Orleans, LA
Booth #2124
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Featured Presentation

New advancements in AI-powered pathology and predicting immune phenotypes and genomic alterations from whole-slide images

Speaker: Andy Beck, CEO & Co-Founder of PathAI

Session Date and Time: April 12, 2022 at 3:00 pm CT

Location: Spotlight Theater C

Learn more about new research utilizing IHC and H&E whole-slide images to predict gene expression and CD8+ immune phenotype based on quantitative tumor microenvironment features including nuclear, cell and tissue features using quantities, density and spatial relationships. This presentation includes AI-driven modeling of tertiary lymphoid structures and KEAP1 as well as predictions of homologous recombination deficiency and whole-genome doubling in breast and prostate cancers.

Learn More Here

Andy Beck Headshot
Andy Beck
CEO & Co-Founder of PathAI

Co-Developed Poster Presentations

Quantification of TGFβ protein levels and digital pathology – based immune phenotyping reveal biomarkers for TGF-β blockade therapy patient selection in NSCLC


Developed in partnership with Sanofi

Session Date and Time: April 8, 2022, 12:00 – 1:00 pm CT
Location: Online Presentation
Abstract #5099

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Machine learning models identify histological features that can predict KEAP1 mutations in lung adenocarcinoma

Developed in partnership with Revolution Medicines

Session Date and Time: April 10, 2022, 1:30 PM – 5:00 PM CT
Location: Section 28, Poster #25
Abstract #449


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AI-powered and manual assessment of PD-L1 are comparable in predicting response to neoadjuvant atezolizumab in patients (pts) with resectable non-squamous, non-small cell lung cancer (NSCLC)

Developed in partnership with Genentech, a member of the Roche Group

Session Date and Time: April 11, 2022, 9:00 AM – 12:30 PM CT
Location: Section 33, Poster #9
Abstract #CT112


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PathAI Poster Presentations

AIM PD-L1-NSCLC: Artificial intelligence-powered PD-L1 quantification for accurate prediction of tumor proportion score in diverse, multi-stain clinical tissue samples

Session Date and Time: Sunday Apr 10, 2022 1:30 PM – 5:00 PM CT
Location: Section 28, Poster #22

Abstract #471

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AI-powered segmentation and analysis of nuclei morphology predicts genomic and clinical markers in multiple cancer types

Session Date and Time: Sunday Apr 10, 2022 1:30 PM – 5:00 PM CT
Location: Section 28, Poster #15

Abstract #464

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Application of an interpretable graph neural network to predict gene expression signatures associated with tertiary lymphoid structures in histopathological images

Session Date and Time: Sunday Apr 11, 2022 1:30 PM – 5:00 PM CT
Location: Section 29, Poster #1

Abstract #1922

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