Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines

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Year : 2025 | Volume : 02 | Issue : 02 | Page :
    By

    Bhupinder Singh,

  • Ritu Gautam,

  1. Professor, Sharda School of Business studies, Sharda University, Greater Noida, India
  2. Assistant Professor, School of Business studies, Sharda University, Greater Noida, India

Abstract

Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse effects. The usage of AI in drug discovery and development identifies potential drug candidates and predicts their efficacy which reduces potential means and costs. One such approach, deep learning, is particularly groundbreaking in genomics, as it unravels intricate genetic data, paves the way for predictive genomics and gene editing, and provides a deeper understanding of disease mechanisms. AI helps in disease prevention and promotion of wellness by enabling early detection, driving lifestyle intervention, and improving mental health care. But we still face challenges related to data privacy, algorithmic bias, and ethics. These are all important issues to consider for ensuring that AI is applied responsibly and equitably in healthcare. Future horizons are promising perhaps real-time monitoring of health continuum, multi-omics data integration, more personalized AI-assisted clinical trials, and ultimately patient empowerment. This shift towards precision medicine through the evolution of AI and deep learning technologies has the potential to revolutionize the way healthcare is delivered and significantly enhance health outcomes and quality of life on a global scale.

Keywords: Artificial Intelligence, Deep Learning, Precision Medicine, Genomics, Personalized Treatment

[This article belongs to Emerging Trends in Personalized Medicines ]

How to cite this article:
Bhupinder Singh, Ritu Gautam. Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines. Emerging Trends in Personalized Medicines. 2025; 02(02):-.
How to cite this URL:
Bhupinder Singh, Ritu Gautam. Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines. Emerging Trends in Personalized Medicines. 2025; 02(02):-. Available from: https://journals.stmjournals.com/etpm/article=2025/view=222355


References

  1. Singh B, Kaunert C. Computational thinking for innovative solutions and problem-solving techniques: transforming conventional education to futuristic interdisciplinary higher education. In: Fonkam M, Vajjhala N, editors. Revolutionizing curricula through computational thinking, logic, and problem solving. Hershey (PA): IGI Global; 2024. p. 60–82. https://doi.org/10.4018/979-8-3693-1974-1.ch004
  2. Singh B, Vig K, Dutta PK, Kaunert C. Unraveling agile transformation for customer satisfaction in changing market conditions: roadmap for industry embracing change in project management. In: Misra S, Jadeja R, Mittal M, editors. Practical approaches to agile project management. Hershey (PA): IGI Global; 2024. p. 305–21. https://doi.org/10.4018/979-8-3693-3318-1.ch017
  3. Singh B, Kaunert C. Wind and solar energy as renewable energy for sustainable global future: projecting future multi-sector sustainable policies and innovation. In: Ara A, Thakore R, editors. Promoting multi-sector sustainability with policy and innovation. Hershey (PA): IGI Global; 2024. p. 210–45. https://doi.org/10.4018/979-8-3693-2113-3.ch009
  4. Singh B, Kaunert C. Aroma of highly smart Internet of Medical Things (IoMT) and lightweight EdgeTrust expansion medical care facilities for electronic healthcare systems: fortified-chain architecture for remote patient monitoring and privacy protection beyond imagination. In: Hassan A, Bhattacharya P, Tikadar S, Dutta P, Sagayam M, editors. Lightweight digital trust architectures in the Internet of Medical Things (IoMT). Hershey (PA): IGI Global; 2024. p. 196–212. https://doi.org/10.4018/979-8-3693-2109-6.ch011
  5. Singh B, Jain V, Kaunert C, Dutta PK, Singh G. Privacy matters: espousing blockchain and artificial intelligence (AI) for consumer data protection on e-commerce platforms in ethical marketing. In: Saluja S, Nayyar V, Rojhe K, Sharma S, editors. Ethical marketing through data governance standards and effective technology. Hershey (PA): IGI Global; 2024. p. 167–84. https://doi.org/10.4018/979-8-3693-2215-4.ch015
  6. Singh B, Dutta PK, Kaunert C. Replenish artificial intelligence in renewable energy for sustainable development: lensing SDG 7 affordable and clean energy and SDG 13 climate actions with legal-financial advisory. In: Derbali A, editor. Social and ethical implications of AI in finance for sustainability. Hershey (PA): IGI Global; 2024. p. 198–227. https://doi.org/10.4018/979-8-3693-2881-1.ch009
  7. Singh B, Kaunert C. Augmented reality and virtual reality modules for mindfulness: boosting emotional intelligence and mental wellness. In: Hiran K, Doshi R, Patel M, editors. Applications of virtual and augmented reality for health and wellbeing. Hershey (PA): IGI Global; 2024. p. 111–28. https://doi.org/10.4018/979-8-3693-1123-3.ch007
  8. Singh B. Lensing legal dynamics for examining responsibility and deliberation of generative AI-tethered technological privacy concerns: infringements and use of personal data by nefarious actors. In: Ara A, Ara A, editors. Exploring the ethical implications of generative AI. Hershey (PA): IGI Global; 2024. p. 146–67. https://doi.org/10.4018/979-8-3693-1565-1.ch009
  9. Singh B. Social cognition of incarcerated women and children: addressing exposure to infectious diseases and legal outcomes. In: Reddy K, editor. Principles and clinical interventions in social cognition. Hershey (PA): IGI Global; 2024. p. 236–51. https://doi.org/10.4018/979-8-3693-1265-0.ch014
  10. Singh B, Kaunert C. Salvaging responsible consumption and production of food in the hospitality industry: harnessing machine learning and deep learning for zero food waste. In: Singh A, Tyagi P, Garg A, editors. Sustainable disposal methods of food wastes in hospitality operations. Hershey (PA): IGI Global; 2024. p. 176–92. https://doi.org/10.4018/979-8-3693-2181-2.ch012
  11. Singh B. Evolutionary global neuroscience for cognition and brain health: strengthening innovation in brain science. In: Prabhakar P, editor. Biomedical research developments for improved healthcare. Hershey (PA): IGI Global; 2024. p. 246–72. https://doi.org/10.4018/979-8-3693-1922-2.ch012
  12. Singh B, Kaunert C. Revealing green finance mobilization: harnessing FinTech and blockchain innovations to surmount barriers and foster new investment avenues. In: Jafar S, Rodriguez R, Kannan H, Akhtar S, Plugmann P, editors. Harnessing blockchain-digital twin fusion for sustainable investments. Hershey (PA): IGI Global; 2024. p. 265–86. https://doi.org/10.4018/979-8-3693-1878-2.ch011
  13. Singh B, Kaunert C. Harnessing sustainable agriculture through climate-smart technologies: artificial intelligence for climate preservation and futuristic trends. In: Kannan H, Rodriguez R, Paprika Z, Ade-Ibijola A, editors. Exploring ethical dimensions of environmental sustainability and use of AI. Hershey (PA): IGI Global; 2024. p. 214–39. https://doi.org/10.4018/979-8-3693-0892-9.ch011
  14. Singh B. Blockchain technology in renovating healthcare: legal and future perspectives. In: Kaushik K, Dahiya S, Aggarwal S, Dwivedi A, editors. Revolutionizing healthcare through artificial intelligence and Internet of Things applications. Hershey (PA): IGI Global; 2023. p. 177–86. https://doi.org/10.4018/978-1-6684-5422-0.ch012

Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 01/07/2025
Accepted 22/07/2025
Published 26/07/2025
Publication Time 25 Days



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