Three-dimensional (3D) bioprinting using photocrosslinkable hydrogels has gained considerable attention due to its versatility in various applications, including tissue engineering and drug delivery. Egg White (EW) is an organic biomaterial with excellent potential in tissue engineering. It provides abundant proteins, along with biocompatibility, bioactivity, adjustable mechanical properties, and intrinsic antiviral and antibacterial features.
View Article and Find Full Text PDF: The reconstruction of large breasts carries a heightened risk profile. While skin-reducing mastectomy (SRM) techniques facilitate the correction of breast ptosis, they are frequently associated with a high incidence of vascular complications. This study compares two SRM techniques-the horizontal incision and the classic inverted T incision-by examining their clinical and surgical outcomes.
View Article and Find Full Text PDFIntroduction: Several studies have demonstrated that, following a breast cancer (BC) diagnosis, patients are eager to obtain information on cancer and nutrition, in order to ameliorate both their quality of life (QoL) and disease outcome. To avoid BC survivors to get wrong information from unreliable sources, healthcare providers need to be aware of patients' needs, to guide them toward optimal nutrition recommendations, aimed at preventing tumor recurrence and increasing survival rates.
Material And Methods: The cross-sectional web-based survey "Nutrition and breast cancer, what would you like to know?" has been conceived and conducted, in Italy, between the 2nd and the 25th of June 2023.
Traditionally, surveillance programs for food products and food processing environments have focused on targeted pathogens and resistance genes. Recent advances in high throughput sequencing allow for more comprehensive and untargeted monitoring. This study assessed the microbiome and resistome in a poultry burger processing line using culturing techniques and whole metagenomic sequencing (WMS).
View Article and Find Full Text PDFPurpose: Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a natural language processing (NLP) model specifically designed to extract structured data from BC pathology reports written in natural language.
Methods: During the initial phase, the algorithm's development cohort comprised 193 pathology reports from 116 patients with BC from 2012 to 2016.