Niklas Leopold-Kerschbaumer

Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studies

Abstract Infrared molecular fingerprinting of blood offers a scalable, minimally invasive window into human physiology, but limited follow-up, imbalanced cohorts, and restricted access to diverse phenotypes constrain systematic studies. Here, we introduce a conditional deep gener...