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Artificial Intelligence: A Major Landmark in the Novel Drug Discovery Pathway for the Remarkable Advancement in the Healthcare System

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Concepts in Pharmaceutical Biotechnology and Drug Development

Part of the book series: Interdisciplinary Biotechnological Advances ((IBA))

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Abstract

The healthcare industry is entering a new era of efficiency and personalisation because of the integration of artificial intelligence (AI), which has completely transformed medical research and development. With the use of machine learning and deep learning algorithms, artificial intelligence has had a particularly significant impact on drug discovery, simplifying the design and optimisation of novel molecules. Artificial intelligence (AI) optimises research designs for clinical trials, reducing procedures and increasing data analysis efficiency. Dynamic treatments and customised patient care are guaranteed by AI-powered real-time monitoring. Multidisciplinary innovation in medicine development is fuelled by the cooperative efforts of data analysts, physicians, and subject matter experts. AI optimises pharmaceutical resource potential and supports sustainable practices by accelerating drug discovery procedures. Personalised medicine is made possible by biomarker discovery, which is powered by AI and allows for the identification of critical indicators for disease states and treatment responses. Artificial intelligence (AI) in clinical trials leads to faster and more dependable therapeutic outcomes by streamlining designs, identifying patient subpopulations, and improving data processing efficiency. Artificial intelligence-driven surveillance enables instantaneous monitoring, guaranteeing adaptable and customised patient interventions. A flexible and patient-centred healthcare system is made possible by AI systems’ continuous learning capabilities, which adapt based on actual patient data. Overall, AI’s transdisciplinary influence drives medication research and discovery towards more precise, effective, and personalised healthcare solutions, with the potential to yield ground-breaking discoveries that will benefit people all over the world.

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Authors and Affiliations

  1. ISF College of Pharmacy, Ghall Kalan, Punjab, India

    Rabin Debnath

  2. Department of Pharmaceutical Sciences, Drug Discovery Research Laboratory, Assam University (A Central University), Silchar, India

    Abu Md Ashif Ikbal & Partha Palit

  3. Silchar Medical College and Hospital, College of Pharmacy, Silchar, India

    Ankita Choudhury

  4. Pharmacognosy & Phytotherapy Research Laboratory, Division of Pharmacognosy, Department of Pharmaceutical Technology, Faculty of Engineering & Technology, Jadavpur University, Kolkata, India

    Subhash C. Mandal

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  1. Rabin Debnath
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  2. Abu Md Ashif Ikbal
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  3. Ankita Choudhury
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  4. Subhash C. Mandal
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  5. Partha Palit
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Editors and Affiliations

  1. School of Pharmacy, The Neotia University, West Bengal, West Bengal, India

    Sankhadip Bose

  2. Department of Botany, University of Lucknow, Lucknow, India

    Amritesh Chandra Shukla

  3. Department of Clinical Pharmacy and Pharmacotherapeutics, Dubai Pharmacy College for Girls, Dubai, United Arab Emirates

    Mirza R. Baig

  4. Department of Pharmaceutical Chemistry, Gupta College of Technological Sciences, Asansol, West Bengal, India

    Sabyasachi Banerjee

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Debnath, R., Ikbal, A.M.A., Choudhury, A., Mandal, S.C., Palit, P. (2024). Artificial Intelligence: A Major Landmark in the Novel Drug Discovery Pathway for the Remarkable Advancement in the Healthcare System. In: Bose, S., Shukla, A.C., Baig, M.R., Banerjee, S. (eds) Concepts in Pharmaceutical Biotechnology and Drug Development . Interdisciplinary Biotechnological Advances. Springer, Singapore. https://doi.org/10.1007/978-981-97-1148-2_19

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