Influence of core material and occlusal contact pattern on fatigue behavior of different monolithic ceramic crowns.

This study evaluated the effect of substrate core materials and occlusal contact patterns on the fatigue mechanical behavior and stress distribution of single-unit ceramic crowns. One hundred and twenty monolithic crowns were fabricated from zirconia (YZ - IPS e.max ZirCAD, Ivoclar), lithium disilicate (LD - IPS e.

Cervicovaginal microbiome and natural history of Chlamydia trachomatis in adolescents and young women.

This study investigated the cervicovaginal microbiome's (CVM's) impact on Chlamydia trachomatis (CT) infection among Black and Hispanic adolescent and young adult women. A total of 187 women with incident CT were matched to 373 controls, and the CVM was characterized before, during, and after CT infection. The findings highlight that a specific subtype of bacterial vaginosis (BV), identified from 16S rRNA gene reads using the molBV algorithm and community state type (CST) clustering, is a significant risk factor for CT acquisition.

Total neoadjuvant therapy followed by total mesorectal excision for rectal cancer in older patients real world data and proof of concept.

Background: Rectal cancer (RC) commonly affects older patients. Total Neoadjuvant Therapy (TNT) has been introduced to improve local and systemic control of RC. The aim was to present real-world data of older patients receiving TNT followed by surgery after a frailty assessment and verify feasibility and safety of this approach.

Artificial intelligence in fracture detection on radiographs: a literature review.

Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for patients, and artificial intelligence that uses algorithms to imitate human intelligence to aid or enhance human performs is a promising solution to address this issue. In the last few years, numerous commercially available algorithms have been developed to enhance radiology practice and a large number of studies apply artificial intelligence to fracture detection.