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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How AI technology can democratize clinical trials in oncology

While drug developers continue to develop promising investigational cancer drugs, conducting clinical research in oncology remains difficult. Here’s how AI-enabled software can help. 

AI image courtesy of Pixabay

The statistics on inadequate trial recruitment and endemic challenges in oncology clinical trials are well known. They have only gotten worse over the past 20 years. While the number of cancer treatments has nearly quadrupled in that time period from 421 to 1,489, cancer drugs take 30–40% longer than other indications to gain approval and 80% of oncology clinical trials fail to meet enrollment timelines. Over this period, trial complexity has also increased due to more comprehensive trial designs (e.g., multi-cohort, basket and umbrella studies), precision medicine studies requiring gene, RNA or protein biomarker assays and the increasing quantity and sophistication of desired endpoints.

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