Publications by authors named "B Aydas"
Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and mortality. However, the diagnostic accuracy of ultrasound, the sole prenatal screening tool, remains limited. Failed prenatal or early newborn detection of cyanotic CHD (CCHD) can have disastrous consequences.
View Article and Find Full Text PDFObjective: Following the COVID-19 outbreak, authorities recommended preventive measures to reduce infection rates. However, adherence to calls varied between individuals and across cultures. To determine the characteristics of effective health communication, we investigated three key features: message source, content, and audience.
View Article and Find Full Text PDFBackground: Pancreatic cancer (PC) is among the most lethal cancers. The lack of effective tools for early detection results in late tumor detection and, consequently, high mortality rate. Precision oncology aims to develop targeted individual treatments based on advanced computational approaches of omics data.
View Article and Find Full Text PDFArticle Synopsis
- Ovarian cancer is a highly lethal gynecologic cancer, often diagnosed at late stages due to its asymptomatic nature, highlighting the need for non-invasive diagnostic methods.
- The study utilized AI and genome-wide analysis of circulating tumor DNA to detect epithelial ovarian cancer, uncovering significant epigenetic changes in DNA methylation across various markers.
- The results showed high diagnostic accuracy with conventional regression and multiple AI platforms, achieving an area under the ROC curve of up to 1.00, while also identifying key molecular pathways linked to the disease's pathogenesis.
Background: DNA cytosine nucleotide methylation (epigenomics and epigenetics) is an important mechanism for controlling gene expression in cardiac development. Combined artificial intelligence and whole-genome epigenomic analysis of circulating cell-free DNA in maternal blood has the potential for the detection of fetal congenital heart defects.
Objective: This study aimed to use genome-wide DNA cytosine methylation and artificial intelligence analyses of circulating cell-free DNA for the minimally invasive detection of fetal congenital heart defects.