AI-generated from publicly available materials.Innovative approaches are reshaping pancreatic cancer research by enhancing the connection between patient biology and preclinical models.
Recent advancements in pancreatic cancer therapies highlight the need for improved translational pipelines that effectively link patient biology to preclinical systems. The tumor microenvironment plays a pivotal role in determining patient outcomes and therapeutic responses, necessitating its accurate representation in research models.
In an upcoming webinar, Josh Wheeler, MD, PhD, will introduce a biology-first AI methodology aimed at decoding patient tumor states. He will showcase Genialis Supermodel, an AI framework that translates RNA sequencing data into biological states, facilitating comparisons across various patients and experimental setups. Additionally, the RASTRUM platform from Inventia Life Science will be discussed, which allows for the creation of bioprinted pancreatic ductal adenocarcinoma (PDAC) models enriched with cancer-associated fibroblasts and immune cells, thereby increasing the complexity of the tumor microenvironment.
Wheeler's insights will reveal how these advanced models can uncover therapeutic targets that traditional monoculture systems might overlook. By simulating the dynamic interactions within the tumor microenvironment, researchers can generate more accurate therapeutic hypotheses, potentially leading to better patient outcomes. The session will conclude with a live Q&A, providing participants the opportunity to engage with the expert panel.