Deep Learning for Personalized Medicine - Enhancing Precision Health With AI

Deep Learning for Personalized Medicine - Enhancing Precision Health With AI

Authors

  • Mohan Raparthi Independent Researcher
  • Bhavani Prasad Kasaraneni Independent Researcher, USA
  • Swaroop Reddy Gayam Independent Researcher and Senior Software Engineer at TJMax, USA
  • Krishna Kanth Kondapaka Independent Researcher, CA ,USA
  • Sandeep Pushyamitra Pattyam Independent Researcher and Data Engineer, USA
  • Sudharshan Putha Independent Researcher and Senior Software Developer, USA
  • Mohit Kumar Sahu Independent Researcher and Senior Software Engineer, CA, USA
  • Siva Sarana Kuna Independent Researcher and Software Developer, USA
  • Venkata Siva Prakash Nimmagadda Independent Researcher, USA
  • Praveen Thuniki Independent Research, Sr Program Analyst, Georgia, USA

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Keywords:

Deep Learning, Personalized Medicine, Precision Health, Artificial Intelligence, Healthcare, Genomics, Imaging, Clinical Records, Tailored Treatment, Diagnosis

Abstract

Personalized medicine, a paradigm that tailors medical treatment to individual characteristics, is revolutionizing healthcare. One of the key enablers of this revolution is deep learning, a subset of artificial intelligence (AI) that excels at extracting patterns from complex data. This paper explores the role of deep learning in personalized medicine, focusing on its contributions to enhancing precision health initiatives through tailored treatment and diagnosis. We discuss how deep learning algorithms analyze diverse datasets, including genomics, imaging, and clinical records, to generate insights that guide personalized interventions. We also examine the challenges and ethical considerations associated with implementing deep learning in personalized medicine. Through this investigation, we highlight the transformative potential of deep learning in advancing precision health and improving patient outcomes.

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Published

26-12-2020

How to Cite

Raparthi, M., B. Prasad Kasaraneni, S. Reddy Gayam, K. Kanth Kondapaka, S. Pushyamitra Pattyam, S. Putha, M. Kumar Sahu, S. Sarana Kuna, V. Siva Prakash Nimmagadda, and P. Thuniki. “Deep Learning for Personalized Medicine - Enhancing Precision Health With AI”. Journal of Science & Technology, vol. 1, no. 1, Dec. 2020, pp. 82-90, https://thesciencebrigade.com/jst/article/view/124.
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