Geometry for Medicine: New Tools to Analyze High-Dimensional Data
Monika C. Trebo
February 22, 2026
Modern medicine generates vast and complex data sets, ranging from medical images to genetic measurements. A central challenge is to compare such data in a meaningful way in order to identify patterns, group similar samples, and better understand disease. Classical machine learning methods often struggle when data is high-dimensional, noisy, or lacks a simple geometric structure.
