Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data

no code implementations • 19 Feb 2024 • Manuel Schürch, Laura Boos, Viola Heinzelmann-Schwarz, Gabriele Gut, Michael Krauthammer, Andreas Wicki, Tumor Profiler Consortium

AI-driven precision oncology has the transformative potential to reshape cancer treatment by leveraging the power of AI models to analyze the interaction between complex patient characteristics and their corresponding treatment outcomes.

counterfactual Decision Making

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings

no code implementations • 30 Sep 2022 • Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis

However, the usual formulation of OT assumes conservation of mass, which is violated in unbalanced scenarios in which the population size changes (e. g., cell proliferation or death) between measurements.