AACR Annual Meeting 2022

At this year’s AACR annual meeting, PathAI shared 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 to predict immune phenotypes and genomic alterations

Speaker: Andy Beck, CEO & Co-founder, PathAI

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.

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 Analysis of H&E Lung Adenocarcinoma Tumor Microenvironment Shows Association of Human Interpretable Histopathological Features with KEAP1 Mutations

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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