@article{Zhu2024, 
author = {Tao Zhu and Mingdong Yang and Yanhong Wang and Junjun Xu and Haibin Dai},
title = {Towards precision medicine: Leading with big data and multidisciplinary collaboration},
year = {2024},
journal = {Precision  Medication},
volume = {1},
number = {1},
keywords = {Precision medicine, Big data, Multidisciplinary collaboration},
url = {https://www.sciopen.com/article/10.1016/j.prmedi.2024.10.003},
doi = {10.1016/j.prmedi.2024.10.003},
abstract = {Precision medicine relies on individuals’ genetic information, omics characteristics, and environmental factors to achieve personalized disease prevention, diagnosis, and treatment. With the successful mapping of the entire human genome and the rise of various cutting-edge omics technologies, precision medicine has ushered in an era of accelerated development. However, there are still many challenges in the implementation of precision medicine, such as insufficient accumulation of clinical evidence, the complexity of data interpretation, and there is a long road ahead before it can be widely available. Close cooperation among multiple disciplines is necessary. Policy support, technological and methodological innovation in academia and industry, and competent precision medicine teams are important factors in the advancement and implementation of precision medicine. Precision prevention, diagnosis, and treatment of diseases require guidance from various levels of data, underscoring the value of big data in the era of precision medicine. It also imposes higher demands on physicians and pharmacists to be capable of prescribing the right drug to the right patient at the right time and at the right dose. The era of precision medicine will be a new era for them to demonstrate greater professional value.}
}