Article

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

2026-02-11

Abstract excerpt

<title>Abstract</title> <p>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 generative framework for synthesizing blood-based infrared spectra that preserves individual-level structure while allowing...

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Literature Corpus work: 5a2df36f-e0d0-571e-ae1f-f8b13e15be0c
DOI: 10.21203/rs.3.rs-8540695/v1

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Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studiesDOI 10.21203/rs.3.rs-8540695/v1Read

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