• Big Data in Laboratory Medicine—FAIR Quality for AI? 

      Blatter T.U., Witte H., Nakas C.T., Leichtle A.B. (2022)
      Laboratory medicine is a digital science. Every large hospital produces a wealth of data each day—from simple numerical results from, e.g., sodium measurements to highly complex output of “-omics” analyses, as well as ...
    • Effects of Freezing and Thawing Procedures on Selected Clinical Chemistry Parameters in Plasma 

      Freiburghaus K., Leichtle A.B., Nakas C.T., Fiedler G.M., Largiader C.R. (2020)
      Introduction: Measurements from frozen sample collections are important key indicators in clinical studies. It is a prime concern of biobanks and laboratories to minimize preanalytical bias and variance through standardization. ...
    • Simulating real-life exposures to uncover possible risks to human health: A proposed consensus for a novel methodological approach 

      Tsatsakis A.M., Kouretas D., Tzatzarakis M.N., Stivaktakis P., Tsarouhas K., Golokhvast K.S., Rakitskii V.N., Tutelyan V.A., Hernandez A.F., Rezaee R., Chung G., Fenga C., Engin A.B., Neagu M., Arsene A.L., Docea A.O., Gofita E., Calina D., Taitzoglou I., Liesivuori J., Hayes A.W., Gutnikov S., Tsitsimpikou C. (2017)
      In real life, consumers are exposed to complex mixtures of chemicals via food, water and commercial products consumption. Since risk assessment usually focuses on individual compounds, the current regulatory approach doesn't ...