INTERDISCIPLINARY RESEARCH: BRIDGING PHARMACY WITH BIOTECHNOLOGY & DATA SCIENCE

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Authors: Prof. Sakshi Nagrikar, Prof. Rupali Pawar, Prof. Darshana Shambharkar, Prof. Om Adpawar
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Abstract

Interdisciplinary research that integrates pharmacy, biotechnology, and data science is transforming modern healthcare by accelerating drug development, enhancing therapeutic precision, and enabling data-driven decision-making. This chapter explores the evolving interface between these fields, highlighting how technological advancements and computational tools are reshaping pharmaceutical research. The foundational concepts of pharmacy and biotechnology are discussed alongside the rise of big data and artificial intelligence, which now play a central role in identifying drug targets, predicting molecular behavior, and optimizing clinical outcomes. Biotechnological innovations such as genetic engineering, biopharmaceuticals, pharmacogenomics, and advanced vaccine technologies are examined for their growing contributions to personalized therapies and complex disease management. The chapter further emphasizes the impact of data science, including machine learning, bioinformatics, predictive modeling, and analytics, in streamlining drug discovery pipelines and improving pharmacovigilance. Integrated approaches such as systems biology and multi-omics frameworks demonstrate how combined datasets can reveal novel insights into disease mechanisms and therapeutic responses. A series of case studies—ranging from AI-guided vaccine design to predictive toxicology and pharmacogenomic-driven drug optimization—illustrate real-world applications of interdisciplinary collaboration. Despite these advancements, challenges remain, including data privacy concerns, ethical issues surrounding genetic information, regulatory barriers, and the need for interdisciplinary competencies. The chapter concludes by highlighting future directions such as precision medicine, digital biomarkers, automation, and the emergence of digital twins in drug development. Overall, this interdisciplinary approach offers a transformative pathway toward more efficient, personalized, and innovative pharmaceutical solutions.

Fields of Study & Subjects

Computational Drug Discovery Methods Interdisciplinary Research and Collaboration Science Research and Medicine

Publication details

Pages
239–259
Publication date
6 February 2026
Language
EN
Document type
Book chapter