Webinars

The mechanism of action (MOA) of the next generation of protein-directed therapeutics are complex and require a new generation of biomarker assays that accurately reflect this complexity. Antibody-drug conjugates (ADCs), multi-specifics, and immunotherapy combos increasingly depend on spatial scoring and multiplex detection to predict treatment outcomes.

In this webinar, Justin Lucas, head of translational research at Adlai Nortye, and Ken Bloom, head of pathology at Nucleai will share insights on how AI-driven spatial biomarker analysis can extract predictive signatures across multiple pathology modalities and spatial transcriptomics.

In this GEN webinar, our speakers will discuss how AI-based spatial analysis of mIF data can accelerate the discovery of clinically relevant biomarkers that can predict response and resistance mechanisms to immunotherapy.

Join Dr. Ken Bloom to learn how AI-driven spatial biomarkers are facilitating more precise, effective, and personalized therapies.

Join us to explore the immense opportunities presented by spatial biology for enhancing clinical decision-making, and advancing personalized medicine.

Join us as we delve into the limitations of current analysis methods, and how deep learning-based models can overcome these limitations.