Hashemi Gheinani, Ali; Kim, Jina; You, Sungyong; Adam, Rosalyn M (2024). Bioinformatics in urology - molecular characterization of pathophysiology and response to treatment. Nature Reviews. Urology, 21(4), pp. 214-242. Nature Publishing Group 10.1038/s41585-023-00805-3
Full text not available from this repository.The application of bioinformatics has revolutionized the practice of medicine in the past 20 years. From early studies that uncovered subtypes of cancer to broad efforts spearheaded by the Cancer Genome Atlas initiative, the use of bioinformatics strategies to analyse high-dimensional data has provided unprecedented insights into the molecular basis of disease. In addition to the identification of disease subtypes - which enables risk stratification - informatics analysis has facilitated the identification of novel risk factors and drivers of disease, biomarkers of progression and treatment response, as well as possibilities for drug repurposing or repositioning; moreover, bioinformatics has guided research towards precision and personalized medicine. Implementation of specific computational approaches such as artificial intelligence, machine learning and molecular subtyping has yet to become widespread in urology clinical practice for reasons of cost, disruption of clinical workflow and need for prospective validation of informatics approaches in independent patient cohorts. Solving these challenges might accelerate routine integration of bioinformatics into clinical settings.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Urologie 04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Urologie 04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Urology |
UniBE Contributor: |
Hashemi Gheinani, Ali |
Subjects: |
600 Technology > 610 Medicine & health 600 Technology > 630 Agriculture |
ISSN: |
1759-4820 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
22 Aug 2023 09:29 |
Last Modified: |
10 Apr 2024 00:12 |
Publisher DOI: |
10.1038/s41585-023-00805-3 |
PubMed ID: |
37604982 |
URI: |
https://boris.unibe.ch/id/eprint/185635 |
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