The Evolution of Personalized Medicine in the Age of Big Data and Advanced Analytics
This study explores customized medicine using the customized Treatment Optimization Framework (PTOF). Advanced analytics and big data transform customized healthcare. The Genetic Variant Prioritization Algorithm (GVPA), Dynamic Treatment Response Prediction Model (DTRP), and Optimal Treatment Adjustment Algorithm (OTAA) make personalized medicine more dynamic and adaptable. PTOF is compared against GenoOpti, PharmaSys, BioDecide, RxPro, MedAlign, and OmniCare in our study. The results reveal that PTOF excels at data combination, prediction, and ethics. PTOF's capacity to adjust treatment regimens based on real-time projections raises the bar for specialist medicine and enhances patient care.
Authors
- K. Ranjith Singh
- Ashish Verma (ORCID: https://orcid.org/0000-0002-2350-9681)
- Dharmesh Dhabliya (ORCID: https://orcid.org/0000-0002-6340-2993)
- Ashutosh Pattanaik
- C Sukumaran
- Rumman Ahmad
Institutions
- Jain University (IN)
- Jamia Millia Islamia (IN)
- Karpagam Academy of Higher Education (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/ihcsp63227.2024.10959907
- Citations
- 1
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.23