Big Science
Publishers
Serving Towards Science
Big Science
Publishers
Serving Towards Science
Big Science
Publishers
Serving Towards Science
Big Science Publishers LLP (registered under section 12(1) of the LLP act 2008) is a fully open access non-annual journal, publish high quality science-based review and research articles. Big Science Publishers also guide the young budding researchers, UG/PG students and scholars and other academic professional who wants to learn the manuscript writing.
Publications Easy under the aegis of Big Science Publishers provide the guidance and take the short tutorial classes to teach the basics to advanced level manuscript writing, supporting tools, finding the right journal, and other related advice to bring the quality manuscript.
Big Science Publishers LLP (registered under section 12(1) of the LLP act 2008) is a fully open access non-annual journal, publish high quality science-based review and research articles. Big Science Publishers also guide the young budding researchers, UG/PG students and scholars and other academic professional who wants to learn the manuscript writing.
Publications Easy under the aegis of Big Science Publishers provide the guidance and take the short tutorial classes to teach the basics to advanced level manuscript writing, supporting tools, finding the right journal, and other related advice to bring the quality manuscript.
The integration of Artificial Intelligence (AI) is transforming pharmaceutical sciences beyond traditional laboratory boundaries, heralding a new era of precision, efficiency, and innovation. This review explores the multifaceted role of AI across various pharmaceutical domains including medicinal chemistry, pharmaceutics, pharmacology, clinical pharmacy, biotechnology, pharmacognosy, and pharmaceutical management. It highlights how AI enhances drug discovery, optimizes formulation design, accelerates clinical trials, and supports decision-making in patient care. Through real-world case studies, the review illustrates tangible benefits such as reduced development timelines, improved therapeutic outcomes, and cost-effectiveness. It also addresses the challenges in data quality, ethical concerns, and regulatory limitations. The paper concludes with a forward-looking perspective on AI's evolving capabilities and its potential to redefine the future of pharmacy practice, research, and education.
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