Newborn screening (NBS) for inborn metabolic disorders is a highly successful public health program that by design is accompanied by false-positive results.Here we trained a Random Forest machine learning classifier on screening data to improve prediction of true and false positives.Data included 39 metabolic analytes detected by tandem mass spectr
Introduction: Impression making and fabrication of plaster models serve as a basis for documentation, diagnosis and treatment planning.Model analysis is used routinely in orthodontics and is a key factor for treatment planning and review of orthodontic progress.Recently newer technologies in imaging and digitalisation have made it possible to obtai
Abstract Background Acute respiratory syndrome distress (ARDS) is a clinical common syndrome with high korpskaft mortality.Electrical impedance tomography (EIT)-guided positive end-expiratory pressure (PEEP) titration can achieve the compromise between lung overdistension and collapse which may minimize ventilator-induced lung injury in these patie
Abstract Electrocatalytic CO2 reduction technology offers an effective way to convert CO2 into valuable chemicals and fuels, presenting a sustainable solution for carbon emissions.Current electrocatalytic CO2 reduction technologies encounter significant issues such as salt precipitation and hydrogen evolution, which prevent energy conversion effici