Explore our recent poster presentation, which discusses the challenge of identifying predictive biomarkers for cytokine-based immunotherapy in head and neck cancers due to the complexity of biological systems and cancer pathophysiology. It highlights the importance of understanding how drugs interact with different biomarkers and tissues spatially to improve trial success rates, reduce costs, and accelerate completion times.

By analyzing spatial and temporal changes in tumor cells and their microenvironment, you can uncover resistance mechanisms, leading to the design of more effective combination therapies. The Aliri solution offers enhanced tumor profiling through spatial analysis, integration of heterogenous data types, and predictive analysis, ultimately identify robust biomarker signatures for improved immunotherapy outcomes.

Download our poster to gain insights into the unique biomarker signatures correlated with therapy response.

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