Oral manifestations in patients with coronavirus disease 2019 (COVID-19) identified using text mining: an observational study.

Text mining enables search, extraction, categorisation and information visualisation. This study aimed to identify oral manifestations in patients with COVID-19 using text mining to facilitate extracting relevant clinical information from a large set of publications. A list of publications from the open-access COVID-19 Open Research Dataset was downloaded using keywords related to oral health and dentistry.

Presence of periodontal pathogenic bacteria in blood of patients with coronary artery disease.

It has been hypothesised that oral bacteria can migrate, through the blood, from the mouth to the arterial plaques, thus exacerbating atherosclerosis. This study compared bacteria present in the peripheral blood of individuals with and without coronary artery disease (CAD). RNA sequences obtained from blood were downloaded from GEO (GSE58150).

BRCA1 and BRCA2 mutations in a sample of breast and ovarian cancer families from the Colombian pacific.

Introduction: Breast cancer is the most common neoplasia of women from all over the world especially women from Colombia. 5%-10% of all cases are caused by hereditary factors, 25% of those cases have mutations in the genes.

Objective: The purpose of this study was to identify the mutations associated with the risk of familial breast and/or ovarian cancer in a population of Colombian pacific.