Verification of automated review, release and reporting of results with assessment of the risk of harm for patients: the procedure algorithm proposal for clinical laboratories.

Objectives: Autoverification increases the efficiency of laboratories. Laboratories accredited according to ISO 15189:2022 need to validate their processes, including autoverification, and assess the associated risks to patient safety. The aim of this study was to propose a systematic verification algorithm for autoverification and to assess its potential risks.

Low Morbidity and Mortality in Children with Severe Traumatic Brain Injury Treated According to the Lund Concept: A Population-Based Study.

Previous reports of mortality and morbidity in pediatric severe traumatic brain injury (TBI) vary considerably, with few population-based studies. Mortality rates from 3-33 % and varying morbidity have been reported, most commonly using the Extended Glasgow Outcome Scale (eGOS). The Lund concept is a treatment algorithm for severe TBI aiming at controlling intracranial pressure (ICP) by reducing cerebral perfusion pressure (CPP).

Knowledge and awareness of iodine intake - survey among Croatian women of reproductive age.

Introduction: Appropriate iodine intake is important for the entire population, especially in fertile women due to decisive role of thyroid hormones in normal foetal brain development. The aim of this study was to investigate knowledge on iodine role among Croatian women of reproductive age.

Materials And Methods: The survey was conducted among 378 women of reproductive age during May-September 2018.

Predicting antitumor activity of peptides by consensus of regression models trained on a small data sample.

Predicting antitumor activity of compounds using regression models trained on a small number of compounds with measured biological activity is an ill-posed inverse problem. Yet, it occurs very often within the academic community. To counteract, up to some extent, overfitting problems caused by a small training data, we propose to use consensus of six regression models for prediction of biological activity of virtual library of compounds.