The Role of Data Science in Precision Medicine: Challenges and Opportunities
Abstract
Precision medicine leverages patient-specific data to tailor medical treatments, improving outcomes and reducing adverse effects. This paper reviews data science methodologies used in precision medicine, including genome-wide association studies (GWAS), predictive modeling for drug response, and patient stratification using unsupervised learning techniques. It highlights the challenges of integrating multi-omics data, ensuring data privacy, and maintaining model fairness. The review also discusses emerging opportunities, such as federated learning for secure data sharing and AI-driven biomarker discovery, to advance the field of personalized healthcare.
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Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., Sarisa, M., & Reddy, M. S. (2024). An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques. Journal of Data Analysis and Information Processing, 12(4), 581-596.
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Sarisa, M., Patra, G. K., Kuraku, C., Konkimalla, S., & Boddapati, V. N. (2024). Stock Market Prediction Through AI: Analyzing Market Trends With Big Data Integration. Manikanth Sarisa, Gagan Kumar Patra, Chandrababu Kuraku, Siddharth Konkimalla, Venkata Nagesh Boddapati.(2024). Stock Market Prediction Through AI: Analyzing Market Trends With Big Data Integration. Migration Letters, 21(4), 1846-1859.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., & Konkimalla, S. (2022). Deep Learning Approaches To Image Classification: Exploring The Future Of Visual Data Analysis. Educational Administration: Theory and Practice, 28(4), 331-345.
Patra, G. K., Rajaram, S. K., Boddapati, V. N., Kuraku, C., & Gollangi, H. K. (2022). Advancing Digital Payment Systems: Combining AI, Big Data, and Biometric Authentication for Enhanced Security. International Journal of Engineering and Computer Science, 11(08), 10-18535.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. (2020). An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods. Journal of Artificial Intelligence and Big Data, 1(1), 75-85.
Kuraku, C., Rajaram, S. K., Gollangi, H. K., Boddapati, V. N., & Patra, G. K. (2024). Advanced Encryption Techniques in Biometric Payment Systems: A Big Data and AI Perspective. Library Progress International, 44(3), 2447-2458.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., & Sarisa, M. (2023). Sentiment Analysis of Customer Product Review Based on Machine Learning Techniques in E-Commerce. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-408. DOI: doi. org/10.47363/JAICC/2023 (2), 389(1), 7211-7224.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. (2020). Navigating the Complexities of Cyber Threats, Sentiment, and Health with AI/ML. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(2), 22-40.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. The power of sentiment: big data analytics meets machine learning for emotional insights. International Journal of Development Research, 10(10), 41565-41573.
Galla, E. P., Boddapati, V. N., Patra, G. K., Madhavaram, C. R., & Sunkara, J. (2023). AI-Powered Insights: Leveraging Machine Learning And Big Data For Advanced Genomic Research In Healthcare. Educational Administration: Theory and Practice.
Patra, G. K., Rajaram, S. K., & Boddapati, V. N. (2019). Ai And Big Data In Digital Payments: A Comprehensive Model For Secure Biometric Authentication. Educational Administration: Theory and Practice.
Boddapati, V. N., Galla, E. P., Sunkara, J. R., Bauskar, S. R., Patra, G. K., Kuraku, C., & Madhavaram, C. R. (2021). Harnessing the Power of Big Data: The Evolution of AI and Machine Learning in Modern Times. ESP Journal of Engineering & Technology Advancements, 1(2), 134-146.
Mandala, V., Avacharmal, R., Chintale, P., Malviya, R. K., Vandanapu, M. K., & Boddapati, V. N. (2025). Intelligent Bankruptcy Prediction using Cutting-Edge N-Valued Interval Neutrosophic Sets for Classification. International Journal of Neutrosophic Science, 25(2), 10-54216.
Boddapati, V. N. (2023). Voice Classification in AI: Harnessing Machine Learning for Enhanced Speech Recognition. Available at SSRN.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Prediction of Financial Stock Market Based on Machine Learning Technique. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Prediction of Financial Stock Market Based on Machine Learning Technique. J Contemp Edu Theo Artific Intel: JCETAI-102.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. J Contemp Edu Theo Artific Intel: JCETAI-101.
Madhavram, C., Boddapati, V. N., Galla, E. P., Sunkara, J. R., & Patra, G. K. (2023). AI-Powered Insights: Leveraging Machine Learning And Big Data For Advanced Genomic Research In Healthcare. Available at SSRN 5029402.
Eswar Prasad, G., Hemanth Kumar, G., Venkata Nagesh, B., Manikanth, S., & Kiran, P. (2023). Prediction of Financial Stock Market Based on Machine Learning Technique. J Contemp Edu Theo Artific Intel: JCETAI-102.
Boddapati, V. N. (2022). Deep Learning Approaches To Image Classification: Exploring The Future Of Visual Data Analysis. Available at SSRN 4977119.
Bauskar, S., Boddapati, V. N., Sarisa, M., Reddy, M., Sunkara, J. R., Rajaram, S. K., & Polimetla, K. (2022). Data Migration in the Cloud Database: A Review of Vendor Solutions and Challenges. Available at SSRN 4988789.
Galla, E. P., Madhavaram, C. R., & Boddapati, V. N. (2021). Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions. Available at SSRN 4980653.
Bauskar, S., Boddapati, V. N., Galla, E. P., Bauskar, S. R., Patra, G. K., Kuraku, C., & Madhavram, C. (2021). Harnessing the Power of Big Data: The Evolution of AI and Machine Learning in Modern Times. Available at SSRN 4988863.
Madhavram, C., Galla, E. P., & Boddapati, V. N. (2021). View of Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions. Available at SSRN 5029395.
Boddapati, Venkata Nagesh and Sarisa, Manikanth and Patra, Gagan Kumar and Kuraku, Chandrababu and Konkimalla, Siddharth and Rajaram, Shravan Kumar, An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods (December 20, 2020).
