Nicolas Wentzensen

TL;DR: The 2019 ASCCP Risk-Based Management Consensus Guidelines Committee concluded that the current consensus on risk-based management guidelines is inadequate and called for further work on this issue.

TL;DR: A "deep learning"-based visual evaluation algorithm that automatically recognizes cervical precancer/cancer cases with greater accuracy is developed, which support consideration of automated visual evaluation of cervical images from contemporary digital cameras.

TL;DR: The key risk estimates supporting guidelines are presented and explained by presenting and explaining the risk estimates that supported the guidelines, and the immediate and 5-year risks of CIN 3+ used to decide clinical management are shown.

TL;DR: A “deep learning”–based evaluation method that performs visual evaluation of the cervix and through the use of digital imaging and computational algorithms automatically recognizes cervical precancer/cancer is developed.

TL;DR: In this paper, the authors performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS.