Molecular Study of Renal Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: closed (20 September 2024) | Viewed by 1873
Special Issue Editors
Interests: biostatistics; supervised and unsupervised statistical methods; artificial intelligence; spatial OMICS; single-cells analysis; multi-omics integration
Special Issues, Collections and Topics in MDPI journals
Interests: renal pathology; glomerulonephritis; proteomics; autoimmunity; molecular pathology; digital pathology; lymphoma
Special Issues, Collections and Topics in MDPI journals
Interests: epidemiology, prognosis and treatment of chronic kidney disease patients; cardiovascular risk; kidney transplant; hemodialysis; peritoneal dialysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Chronic kidney disease (CKD) is progressively increasing in incidence and represents an important economic burden for health systems and a significant discomfort for patients, often leading to end-stage kidney disease (ESKD) whose only therapeutic approaches are still represented by renal replacement therapies (RRTs). To help slowing down the progression of CKD and the comprehension of the underlying mechanisms leading to ESKD the application of alternative computational, digital and omic tools represents an invaluable resource applicable on different media (renal biopsy, blood, urine) to unveil the pathobiological basis of renal diseases. This can prompt (1) the detection of new diagnostic, prognostic and predictive biomarkers easily translatable to the clinical practice, (2) detect new putative targets for innovative therapies in the precision medicine direction and (3) understand the molecular modifications leading to the perturbation of renal homeostasis.
In this setting, we are opening the invitation to submit your research in this Special Issue, entitled "Computational, Digital and Spatial Biology Tools for the Study of Renal Diseases", which aims to provide a research platform for the collection of original research articles and the latest reviews which cover all molecular aspects of kidney diseases.
Dr. Giulia Capitoli
Dr. Vincenzo L'Imperio
Dr. Michele Provenzano
Guest Editors
Manuscript Submission Information
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Keywords
- digital pathology
- computational pathology
- spatial biology
- renal biopsy
- chronic kidney disease
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