26 Years of Skin Banking in Finland.

Autologous skin grafts are the gold standard for definitive wound coverage in burn care, but allograft skin grafts are essential for providing temporary coverage in cases of extensive burns. The Helsinki Skin Bank, established in 1995 at the Helsinki Burn Centre, is Finland's only licensed skin bank, serving a population of 5.5 million.

Impact of a Conformité Européenne (CE) Certification-Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods.

Background: To address the current COVID-19 and any future pandemic, we need robust, real-time, and population-scale collection and analysis of data. Rapid and comprehensive knowledge on the trends in reported symptoms in populations provides an earlier window into the progression of viral spread, and helps to predict the needs and timing of professional health care.

Objective: The objective of this study was to use a Conformité Européenne (CE)-marked medical online symptom checker service, Omaolo, and validate the data against the national demand for COVID-19-related care to predict the pandemic progression in Finland.

The association between charlson comorbidity index and mortality in acute coronary syndrome - the MADDEC study.

Acute coronary syndrome (ACS) is associated with high mortality. Charlson comorbidity index (CCI) was designed over 30 years ago to measure the impact of pre-existing comorbidities on long-term survival of the patient. We wanted to re-evaluate the performance of CCI and its components in modern setting.

Left ventricular ejection fraction adds value over the GRACE score in prediction of 6-month mortality after ACS: the MADDEC study.

Background: Reduced left ventricular ejection fraction (LVEF) is a risk marker for mortality after an acute coronary syndrome (ACS). Global Registry of Acute Coronary Events (GRACE) risk score, developed almost two decades ago, is the preferred scoring system for risk stratification in ACS. The aim of this study was to validate the GRACE score and evaluate whether LVEF has incremental predictive value over the GRACE in predicting 6-month mortality after ACS in a contemporary setting.

Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome - the MADDEC study.

Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). The value of ML and extensive clinical data was analyzed in a retrospective registry study of 9066 consecutive ACS patients (January 2007 to October 2017). Main outcome was six-month mortality.