Harnessing the Power of Data Analytics and Business Intelligence to Drive Innovation in Biotechnology and Healthcare: Transforming Patient Outcomes through Predictive Analytics, Genomic Research, and Personalized Medicine
DOI:
https://doi.org/10.48047/edhd9224Keywords:
Data Analytics, Business Intelligence, Biotechnology, Healthcare Innovation, Predictive Analytics, Personalized Medicine, Personal Genomics, Artificial Intelligence, Big Data, Genomic Research, Therapeutic Solutions, Precision Medicine, Chronic Disease Management, Health Services Delivery, Sick Care Transformation, Medical Interventions, Patient Outcomes, Knowledge Gaps, Interdisciplinary Research, Intersectoral Collaboration.Abstract
This essay delves into how data analytics and business intelligence initiatives in pre-competitive spaces can support innovation processes within both the biotechnology and healthcare ecosystems. It is acknowledged that these analyses span a wide variety of knowledge production. However, when so much research creates marginal improvements for a small percentage of the population, relatively little attention has been given to how innovation could be powerfully applied to transform patient outcomes.
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Ravi Kumar Vankayalapati, Dilip Valiki, Venkata Krishna Azith Teja Ganti (2025) Zero-Trust Security Models for Cloud Data Analytics: Enhancing Privacy in Distributed Systems . Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-436. DOI: doi.org/10.47363/JAICC/2025(4)415 [2] 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. Retrieved from https://migrationletters.com/index.php/ml/article/ view/11245
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