BBTác giả: Zhang, S.; Người hướng dẫn: -; Người tham gia: Bamakan, S. M. H.; Qu, Q.; Li, S. (2019)
With the recent advancements in analyzing high-volume, complex, and unstructured data, modern
learning methods are playing an increasingly critical role in the field of personalized medicine. Personalized medicine (i.e., providing tailored medical treatment to individual patients through the identification of common features, including their genetics, inheritance, and lifestyle) has attracted the attention of many researchers in recent years. This paper provides an overview of the research progress in the application of learning methods, with a focus on deep learning in personalized medicine. In particular, three domains of applications are reviewed: drug development, disease characteristic identification, and therapeutic effect prediction. The main objective of this review is to cons... 
