Introduction to the special issue on precision medicine in reproductive and sexual dysfunction
Year: 2025
Type: editorial
Abstract: Recent developments in personalized medicine are transforming reproductive and sexual health, offering customized treatments that improve patient outcomes.This special issue of UroPrecision showcases groundbreaking research and clinical insights, emphasizing the value of individualized approaches in tackling complex sexual health issues.By integrating biomarkers, artificial intelligence (AI), and innovative therapies, these studies highlight the potential of precision medicine to address conditions like Peyronie's disease, male infertility, and sexual dysfunction, while addressing ethical concerns in telemedicine and patient-focused care.This editorial presents an overview of the included articles, each offering a unique perspective on how precision medicine can improve diagnostic accuracy, therapeutic interventions, and overall patient outcomes in reproductive and sexual health.Howell et al. [1] present a detailed review of Peyronie's disease, focusing on its inflammatory and fibrotic origins and the psychological impact on patients.The article highlights the benefits of personalized treatments, such as traction therapy and intralesional injections, for correcting curvature deformities.Emerging therapies, including regenerative techniques and advanced imaging, point toward more customized solutions, offering hope for improved outcomes.Kandil et al. [2] examine the transformative role of AI in treating non-obstructive azoospermia (NOA) during surgical sperm retrieval (SSR).From predictive models for patient counseling to image recognition in micro-TESE procedures, AI is revolutionizing male infertility management.These advancements reduce errors and improve the identification of viable sperm, solidifying AI's role in reproductive medicine.Khalil et al. [3] provide a scoping review of the effects of Rezum therapy, a minimally invasive UroPrecision.
Source: UroPrecision
DOI: 10.1002/uro2.70001
Author: Kareim Khalafalla
Institutions: Hamad Medical Corporation, Qatar University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408319788