Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/443918
Title: | Assessment of Network Based Biomarkers and Signalling Pathways in Cardio Renal Crosstallk for Developing Personalized Treatment Approach |
Researcher: | Raj Rani |
Guide(s): | Varsha Singh and Anil Kumar |
Keywords: | Clinical Medicine Clinical Pre Clinical and Health Health Care Sciences and Services |
University: | Chitkara University, Punjab |
Completed Date: | 2022 |
Abstract: | Cardio-renal syndrome (CRS), the term used to describe the combination of heart failure and renal impairment, has significant prognostic implications for individuals with cardiovascular disorders (CVDs). In the patients with cardiac and renal dysfunction, it is currently acknowledged as an independent predictor of morbidity and mortality. newline newlineThe foremost goal of this study, was to develop the CRS prediction algorithm using PANOMIC data. As there is no such specific biomarker or treatment available for the CRS, till date we provide a generalized treatment to the CRS patients. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/443918 |
Appears in Departments: | Faculty of Health Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 127.25 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.49 MB | Adobe PDF | View/Open | |
03_contents.pdf | 462.36 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 117.1 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 242.54 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 221.78 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 544.2 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.61 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 129.86 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 2.73 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 238 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: