Data Analytics in Genomics and Precision Medicine: Unlocking the Potential of Personalized Healthcare
Abstract
The field of genomics has been revolutionized by data analytics, enabling the analysis of vast amounts of genetic data to drive precision medicine. This review paper explores the role of data analytics in genomics, including genome sequencing, variant analysis, and biomarker discovery. It also discusses applications in personalized treatment plans, drug development, and disease prevention. Challenges such as data storage, computational complexity, and ethical considerations are examined, along with future directions like the integration of AI and multi-omics data for more comprehensive healthcare solutions.
References
Davuluri, M. (2020). AI-Driven Predictive Analytics in Patient Outcome Forecasting for Critical Care. Research-gate journal, 6(6).
Davuluri, M. (2018). Revolutionizing Healthcare: The Role of AI in Diagnostics, Treatment, and Patient Care Integration. International Transactions in Artificial Intelligence, 2(2).
Davuluri, M. (2018). Navigating AI-Driven Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 1(1), 106-112.
Davuluri, M. (2017). Bridging the Healthcare Gap in Smart Cities: The Role of IoT Technologies in Digital Inclusion. International Transactions in Artificial Intelligence, 1(1).
Davuluri, M. (2016). Avoid Road Accident Using AI. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Davuluri, M. (2015). Integrating Neural Networks and Fuzzy Logic: Innovations and Practical Applications. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Davuluri, M. (2014). The Evolution and Global Impact of Big Data Science. Transactions on Latest Trends in Health Sector, 6(6).
Alladi, D. (2019). AI in Rehabilitation Medicine: Personalized Therapy for Improved Recovery. International Machine learning journal and Computer Engineering, 2(2).
Alladi, D. (2019). AI in Radiology: Enhancing Diagnostic Accuracy and Efficiency. International Numeric Journal of Machine Learning and Robots, 3(3).
Alladi, D. (2018). AI-Powered Virtual Assistants in Healthcare: Transforming Patient Engagement. International Machine learning journal and Computer Engineering, 1(1).
DEEKSHITH, A. (2019). From Clinics to Care: A Technological Odyssey in Healthcare and Medical Manufacturing. Transactions on Latest Trends in IoT, 2(2).
DEEKSHITH, A. (2018). Integrating IoT into Smart Cities: Advancing Urban Health Monitoring and Management. International Transactions in Artificial Intelligence, 2(2).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Alladi, D. (2018). AI in Public Health: Predicting and Controlling Disease Outbreaks. International Machine learning journal and Computer Engineering, 1(1).
Pindi, V. (2020). AI in Rare Disease Diagnosis: Reducing the Diagnostic Odyssey. International Journal of Holistic Management Perspectives, 1(1).
Pindi, V. (2018). AI for Surgical Training: Enhancing Skills through Simulation. International Numeric Journal of Machine Learning and Robots, 2(2).
Pindi, V. (2017). AI in Rehabilitation: Redefining Post-Injury Recovery. International Numeric Journal of Machine Learning and Robots, 1(1).
Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.
Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.
Gatla, T. R. (2020). AN IN-DEPTH ANALYSIS OF TOWARDS TRULY AUTONOMOUS SYSTEMS: AI AND ROBOTICS: THE FUNCTIONS. IEJRD-International Multidisciplinary Journal, 5(5), 9.
Gatla, T. R. (2018). AN EXPLORATIVE STUDY INTO QUANTUM MACHINE LEARNING: ANALYZING THE POWER OF ALGORITHMS IN QUANTUM COMPUTING. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Gatla, T. R. (2017). A SYSTEMATIC REVIEW OF PRESERVING PRIVACY IN FEDERATED LEARNING: A REFLECTIVE REPORT-A COMPREHENSIVE ANALYSIS. IEJRD-International Multidisciplinary Journal, 2(6), 8.
Gatla, T. R. (2019). A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS. INNOVATIONS, 6(09).
Velaga, S. P. R. (2020). AI in Cardiovascular Care: From Early Detection to Personalized Treatment. International Journal of Holistic Management Perspectives, 1(1).
Velaga, S. P. R. (2018). AI in Healthcare Chatbots: Enhancing Patient Engagement and Support. International Numeric Journal of Machine Learning and Robots, 2(2).
Velaga, S. P. R. (2017). AI in Healthcare Accessibility: Bridging the Urban-Rural Divide. International Numeric Journal of Machine Learning and Robots, 1(1).
Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.
Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.
Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.
Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.
Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.
Vattikuti, M. C. (2020). AI in Emergency Medicine: Rapid Decision-Making for Critical Care. International Numeric Journal of Machine Learning and Robots, 4(4).
Vattikuti, M. C. (2019). AI in Nutrition and Dietetics: Personalized Approaches to Health and Wellness. International Numeric Journal of Machine Learning and Robots, 3(3).
Vattikuti, M. C. (2019). AI for Rare Cancer Detection: Advancing Early Diagnosis and Treatment. International Machine learning journal and Computer Engineering, 2(2).
Vattikuti, M. C. (2018). AI for Epidemic Prediction and Management: Safeguarding Public Health. International Numeric Journal of Machine Learning and Robots, 2(2).
Vattikuti, M. C. (2018). AI in Healthcare Supply Chain Management: Ensuring Resilience and Efficiency. International Machine learning journal and Computer Engineering, 1(1).
Vattikuti, M. C. (2017). AI in Radiology: Enhancing Diagnostic Accuracy and Workflow Efficiency. International Numeric Journal of Machine Learning and Robots, 1(1).
Vattikuti, M. C. (2020). A Comprehensive Review of AI-Based Diagnostic Tools for Early Disease Detection in Healthcare. Research-gate journal, 6(6).
Vattikuti, M. C. (2018). Leveraging Edge Computing for Real-Time Analytics in Smart City Healthcare Systems. International Transactions in Artificial Intelligence, 2(2).
Vattikuti, M. C. (2018). Leveraging AI for Sustainable Growth in AgTech: Business Models in the Digital Age. Transactions on Latest Trends in IoT, 1(1), 100-105.
Vattikuti, M. C. (2017). Ethical Framework for Integrating IoT in Urban Healthcare Systems. International Transactions in Artificial Intelligence, 1(1).
Vattikuti, M. C. (2016). The Rise of Big Data in Information Technology: Transforming the Digital Landscape. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Vattikuti, M. C. (2015). Harnessing Big Data: Transformative Implications and Global Impact of Data-Driven Innovations. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Vattikuti, M. C. (2014). Core Principles and Applications of Big Data Analytics. Transactions on Latest Trends in Health Sector, 6(6).
BOPPINITI, S. T. (2019). Revolutionizing Healthcare Data Management: A Novel Master Data Architecture for the Digital Era. Transactions on Latest Trends in IoT, 2(2).
Boppiniti, S. T. (2017). Revolutionizing Diagnostics: The Role of AI in Early Disease Detection. International Numeric Journal of Machine Learning and Robots, 1(1).
Boppiniti, S. T. (2018). AI-Powered Predictive Analytics for Personalized Healthcare. International Numeric Journal of Machine Learning and Robots, 2(2).
Boppiniti, S. T. (2018). AI-Driven Drug Discovery: Accelerating the Path to New Therapeutics. International Machine learning journal and Computer Engineering, 1(1).
Boppiniti, S. T. (2019). Natural Language Processing in Healthcare: Enhancing Clinical Decision Support Systems. International Numeric Journal of Machine Learning and Robots, 3(3).
Boppiniti, S. T. (2020). AI in Mental Health: Opportunities and Challenges in Psychological Care. International Numeric Journal of Machine Learning and Robots, 4(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Optimizing SAP Data Processing with Machine Learning Algorithms in Cloud Environments. International Transactions in Artificial Intelligence, 4(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Artificial Intelligence in Business Analytics: Cloud-Based Strategies for Data Processing and Integration. International Journal of Sustainable Development in Computing Science, 2(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Scalable Data Processing Pipelines: The Role of AI and Cloud Computing. International Scientific Journal for Research, 2(2).
