Last week, Dr. Kosmas Kepesidis delivered an invited talk at the Laserlab-Europe/Lasers4EU Annual Meeting in Dolní Břežany, Czechia. Invited by the chair of the “AI for Laser-Based Systems” section, he spoke on the biomedical applications of laser-based technologies.
In his talk, “Modeling Human Health with Laser-Based Molecular Profiles and AI,” Dr. Kepesidis explored how molecular profiles generated by laser-based and related spectroscopic technologies can be combined with artificial intelligence to model complex physiological states, detect early signatures of disease risk, and advance personalized preventive medicine.
He highlighted biomedical applications in which high-dimensional molecular measurements, longitudinal health data, and machine learning approaches could help shift healthcare from reactive diagnosis toward continuous, individualized health monitoring. The talk also addressed the scientific opportunities and methodological challenges involved in translating laser-based molecular data into robust, clinically meaningful models of human health.
Picture: Thorsten Naeser/Dennis Luck
