Behind the scenes: Dr. Andy Beck, PathAI CEO, talks PathExplore

A selected region of a digitized H&E-stained slide [Image courtesy of PathAI]

In a recent conversation with Dr. Andy Beck, co-founder and CEO of PathAI, we had the opportunity to discuss PathExplore, an AI-driven platform that aims to transform the way tumor microenvironment (TME) analysis is conducted. Traditional methods such as manual pathology, multiplex immunofluorescence and single-cell omics often face limitations, including high costs or tissue consumption. PathExplore addresses these challenges by using AI to analyze digitized H&E slides, which are widely available and don’t necessitate advanced assays or equipment.

In the following interview, Dr. Beck highlights the advantages of PathExplore, such as its ability to bridge the gap between H&E and high-resolution modalities such as multiplex and single-cell RNA sequencing and its potential for rapidly scaling biomarkers. Additionally, t…

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PathAI presents data on using AI to aid liver research and NASH drug development

Pathology-focused AI company PathAI will present findings on the use of machine learning (ML) to enhance the scoring of nonalcoholic steatohepatitis (NASH) at the 2022 AASLD 2022 Liver Meeting.

The AASLD 2022 Liver Meeting is Nov. 4–8 in Washington, D.C., where the  company will share five presentations. Boston-based PathAI developed four of them with pharmaceutical collaborators. 

An oral presentation jointly developed with Gilead Sciences (Nasdaq:GILD) will touch on using exploratory analyses of NASH histology with CRN scores informed by a multi-stain ML technique. The companies will explain how a new ML-based scoring model pulling data from images stained with hematoxylin and eosin (H&E) and Masson’s Trichrome can predict NASH CRN grades and stages. 

According to the presenters, the new technique has potential to reduce the high variability found in the current evaluation process of NASH biopsies. The method incorporates data from multiple …

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