Bioinformatics and Kidney Disease
Review genomic and proteomic approaches in kidney disease research, including the use of omics technologies. Discuss the application of big data and predictive analytics in understanding kidney disease. Explore computational models of kidney function and their role in personalized medicine. Highlight advances in bioinformatics that enhance disease diagnosis and treatment. Present current research and innovations in the field of bioinformatics and kidney disease.
- Track 19-1 Genomic and Proteomic Approaches
- Track 19-2 Big Data and Predictive Analytics
- Track 19-3 Computational Models of Kidney Function
- Track 19-4 Personalized Medicine Through Bioinformatics
- Track 19-5 Current Research and Innovations