Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/443918
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dc.date.accessioned2023-01-12T10:17:44Z-
dc.date.available2023-01-12T10:17:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/443918-
dc.description.abstractCardio-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
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAssessment of Network Based Biomarkers and Signalling Pathways in Cardio Renal Crosstallk for Developing Personalized Treatment Approach
dc.title.alternative
dc.creator.researcherRaj Rani
dc.subject.keywordClinical Medicine
dc.subject.keywordClinical Pre Clinical and Health
dc.subject.keywordHealth Care Sciences and Services
dc.description.note
dc.contributor.guideVarsha Singh and Anil Kumar
dc.publisher.placeChandigarh
dc.publisher.universityChitkara University, Punjab
dc.publisher.institutionFaculty of Health Sciences
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Health Sciences

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01_title.pdfAttached File127.25 kBAdobe PDFView/Open
02_prelim pages.pdf1.49 MBAdobe PDFView/Open
03_contents.pdf462.36 kBAdobe PDFView/Open
04_abstract.pdf117.1 kBAdobe PDFView/Open
05_chapter 1.pdf242.54 kBAdobe PDFView/Open
06_chapter 2.pdf221.78 kBAdobe PDFView/Open
07_chapter 3.pdf544.2 kBAdobe PDFView/Open
08_chapter 4.pdf1.61 MBAdobe PDFView/Open
09_chapter 5.pdf129.86 kBAdobe PDFView/Open
10_annexures.pdf2.73 MBAdobe PDFView/Open
80_recommendation.pdf238 kBAdobe PDFView/Open


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