Submission Deadline: 30 February 2026 (Status: Open)
Special Issue Editor
Dr. Hao Chi Email | Website
Southwest Medical University
Interests: oncology; urologic diseases; multi-omics; precision medicine; immune microenvironment; machine learning; bioinformatics
Special Issue Information
Dear Colleagues,
Big data analytics has emerged as a transformative force in modern medicine, providing unprecedented insights into urological diseases, refining diagnostic precision, and optimizing therapeutic strategies. Integrating multi-source data, including genomics, proteomics, clinical records, imaging data, and real-world evidence, facilitates biomarker discovery, disease progression prediction, and personalized therapeutic development.
This Special Issue focuses on groundbreaking research elucidating the transformative role of big data in enhancing the diagnosis and therapeutic management of urological diseases. We encourage submissions that explore innovative applications of big data analytics, including machine learning, artificial intelligence, and network-based methodologies, to address key challenges in urology.
This Special Issue will cover a broad range of topics related to the application of big data in urology, including but not limited to:
Innovative Approaches in Big Data Analytics for Urological Disease Diagnosis
Multi-Omics Integration in Urological Diseases
Predictive Models for Treatment Response in Urology
Personalized Therapeutic Strategies for Urological Conditions
Artificial Intelligence in Urological Clinical Decision-Making
Biomarker Discovery through Big Data in Urological Diseases
Hao Chi
Guest Editor
Keywords
big data; urologic diseases; precision medicine; multi-omics integration; machine learning; biomarker
Manuscript Submission Information
Manuscripts should be submitted via our online editorial system at https://www.aeurologia.com/journalx_aedu/authorLogOn.action by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. Submitted manuscripts should be well formatted in good English.
