Temporal Trends in Urinary Diversion among Patients Undergoing Radical Cystectomy Between 1986 and 2022: Experience at the University Medical Center Mainz with 2224 Cases.

Background: Analysis of temporal trends of urinary diversion (UD) and identification of predictive factors for continent urinary diversion (CUD) in patients with bladder cancer (BC) is scarce and data on large cohorts are missing. We aimed to describe longitudinal temporal trends and predictive factors for UD among patients with BC receiving radical cystectomy (RC).

Patients And Methods: We retrospectively analysed institutional data collected from patients undergoing RC from 1986 to 2022 to describe changes in patients' characteristics and UD.

Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology.

Artificial intelligence (AI) promises to be the next revolutionary step in modern society. Yet, its role in all fields of industry and science need to be determined. One very promising field is represented by AI-based decision-making tools in clinical oncology leading to more comprehensive, personalized therapy approaches.

Primers matter: Influence of the primer selection on human fungal detection using high throughput sequencing.

Microbiota research has received an increasing attention for its role in disease development and fungi are considered as one of the key players in the microbial niche. Various sequencing approaches have been applied to uncover the role of fungal community in health and disease; however, little is known on the performance of various primers and comparability between the studies. Motivated by the recent publications, we performed a systematic comparison of the 18S and ITS regions to identify the impact of various primers on the sequencing results.