As the field of cancer treatment evolves with the introduction of novel immunotherapies, it is imperative to accurately identify patients who will benefit from these treatments. Decoding the tumor microenvironment (TME) through single-cell spatial phenotyping has emerged as a critical determinant of therapeutic response. In this webinar, we will discuss the latest advances in analyzing the TME at a single-cell level and how spatial signature panels can streamline the process of developing predictive spatial biomarkers. We will demonstrate how these spatial signature panels provide the right balance of content, flexibility, speed, and throughput needed to advance biomarker development and how this transforms the way biomarkers are developed for immunotherapy response for non-small cell lung cancer.
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About the Speakers
Aditya Pratapa, Ph. D, Senior Data Scientist, Akoya Biosciences
Aditya Pratapa received his doctorate from Virginia Tech in Computer Science where he worked on developing algorithmic frameworks for inferring gene regulatory networks from single-cell data. Following his post-doctoral studies at the Broad Institute, Aditya joined the Applications team at Akoya Biosciences in 2021 where he works on developing image analysis workflows using open-source tools for a variety of projects spanning the entire Akoya product portfolio.
Amélie Viratham, Technical Applications Scientist, Akoya Biosciences
In her previous role as Research Associate in the Tissue Hybridisation & Digital Pathology group at Queen’s University Belfast, Amélie utilised Akoya’s PhenoImager products to investigate the tumour immune microenvironment in epithelial cancers. Amélie has since taken up the role as Reagents Field Application Scientist at Akoya, where she supports scientists in using Akoya’s technologies to study spatial biology at single-cell resolution, with a focus on reagents, staining and biomarker panel development.