Complex Decision Making for Individual Patients With Penile Cancer: Benchmarking Divergent Practices in European High-Volume Reference Centers: Results From eUROGEN Survey.

Background And Objectives: Penile cancer (PeCa) remains a challenge due to its rarity and the lack of prospective studies, leading to treatment challenges and controversies. Guidelines offer recommendations, but discrepancies with clinical practice persist. This study analyzed treatment practices among specialists managing high-risk PeCa in European reference centers.

Use and Evaluation of GANs for Synthetic Data Generation in Pharmacogenetics.

Pharmacogenetics (PGx) explores the influence of genetic variability on drug efficacy and tolerability. Synthetic Data Generation (SDG) has emerged as a promising alternative to the labor-intensive process of collecting real-world PGx data, which is required for high-qualitative prediction models. This study investigates the performance of two Generative Adversarial Network (GAN) models, CTGAN and CTAB-GAN+, in generating synthetic PGx data.

What Kind of Transformer Models to Use for the ICD-10 Codes Classification Task.

Coding according to the International Classification of Diseases (ICD)-10 and its clinical modifications (CM) is inherently complex and expensive. Natural Language Processing (NLP) assists by simplifying the analysis of unstructured data from electronic health records, thereby facilitating diagnosis coding. This study investigates the suitability of transformer models for ICD-10 classification, considering both encoder and encoder-decoder architectures.