Hellenic Complex Systems Laboratory

Established in 1993, Hellenic Complex Systems Laboratory (HCSL) is an innovative research laboratory dedicated to the evaluation and reduction of uncertainty in complex systems. Employing a transdisciplinary approach, HCSL develops novel clinical, laboratory, research, and educational tools to assess and address uncertainties inherent in complex processes. Our primary research areas are: a) Design, evaluation, and optimization of quality control (QC) in laboratory medicine. b) Measurement uncertainty evaluation and expression. c) Diagnostic accuracy assessment techniques. d) Application and methodology of Bayesian inference in medical diagnosis. Additionally, HCSL explores network science, genetic search processes of genetic algorithms (GAs) and statistics of complexity. Notable achievements include: a) 1993: Pioneered the GAs based design of statistical QC. b) 2009: Developed a theoretical framework and algorithm for optimizing statistical QC of an analytical process, based on the reliability of the analytical system and the risk of analytical error. c) 2021: Introduced a method for estimating the uncertainty of diagnostic accuracy measures, using uncertainty of measurement propagation. d) 2022: Designed one-dimensional convolutional neural networks (NNs) to be applied to QC samples of very small size. e) 2023: Developed a computational tool for parametric and nonparametric Bayesian medical diagnosis. HCSL has actively participated in standards-developing committees of Clinical and Laboratory Standards Institute (CLSI). In addition, it has been a founding node of the Network of Excellence in Evolutionary Computing (Evonet), and a member organization of the Consortium for the Barcode of Life (CBOL). For more information, please visit our website, at https://www.hcsl.com.