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The Role of Statistics in Nanomedicine: A Comprehensive Review
Subject area: Biological & Medical Sciences · Area of research: Interdisciplinary
DOI: 10.64388/IREV10I3-1723552
Abstract
The integration of nanotechnology and medicine has given rise to nanomedicine, a rapidly evolving field that is transforming healthcare by providing novel solutions for disease diagnosis, treatment, and prevention. As nanomedicine continues to advance, the importance of statistical analysis in this field has become increasingly evident. Statistical methods enable researchers to design experiments, analyze complex data, and interpret results, ultimately informing decision-making and driving innovation. This review aims to provide a comprehensive overview of the role of statistics in nanomedicine, highlighting its diverse applications, discussing the challenges associated with statistical analysis in this field, and exploring future directions for research and development.
Keywords
Nanomedicine, Simulations, Aggregation energy storage
How to cite this paper
@article{1723552,
author = {Mehmood Sayyad, Sohail Bagwan},
title = {The Role of Statistics in Nanomedicine: A Comprehensive Review},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {3},
pages = {3794-3796},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1723552.pdf},
abstract = {The integration of nanotechnology and medicine has given rise to nanomedicine, a rapidly evolving field that is transforming healthcare by providing novel solutions for disease diagnosis, treatment, and prevention. As nanomedicine continues to advance, the importance of statistical analysis in this field has become increasingly evident. Statistical methods enable researchers to design experiments, analyze complex data, and interpret results, ultimately informing decision-making and driving innovation. This review aims to provide a comprehensive overview of the role of statistics in nanomedicine, highlighting its diverse applications, discussing the challenges associated with statistical analysis in this field, and exploring future directions for research and development.},
keywords = {Nanomedicine, Simulations, Aggregation energy storage},
month = {September},
doi = {https://doi.org/10.64388/IREV10I3-1723552}
}