Harnessing AI, Spatial Transcriptomics & Mass Spectrometry For Clinical Insights: A Game Changer In The Prediction Of Drug Treatment Responses At The Cellular Level
In this webinar, we’ll dive into how preserving spatial molecular information can prevent the loss of vital data across biological tissues, ensuring the integrity of tissue microenvironments. We’ll explore advanced spatial-Omics platforms that enable this preservation and discuss how AI models, trained on spatial omics data, can predict treatment responses at the cellular level by analyzing cell molecular states and their spatial arrangement.
This approach allows for precise identification of patient subgroups most likely to respond to specific treatments. We’ll also highlight how AI improves the quality of molecular signatures and biomarkers by integrating spatial omics data, paving the way for more personalized and effective medicine. Join us to discover these groundbreaking advancements and their impact on clinical decision-making.
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