KAUST researchers have developed a machine learning model that can analyze the structure of hydrocarbon molecules and accurately predict a property called enthalpy of formation
This crucial tool supports all necessary statistics required within the clinical laboratory to satisfy current CLIA and CAP requirements for the calibration verification of clinical assays