Submit Manuscript  

Article Details


Recent Progress of Machine Learning in Gene Therapy

Author(s):

Cassandra Hunt, Sandra Montgomery, Joshua William Berkenpas, Noel Sigafoos, John Christian Oakley, Jacob Espinosa, Nicola Justice, Kiyomi Kishaba, Kyle Hippe, Dong Si, Jie Hou, Hui Ding and Renzhi Cao*   Pages 1 - 12 ( 12 )

Abstract:


With new developments in biomedical technology, it is now a viable therapeutic treatment to alter genes with techniques like CRISPR. At the same time, it is increasingly cheaper to perform whole genome sequencing, resulting in rapid advancement in gene therapy and editing in precision medicine. Understanding the current industry and academic applications of gene therapy provides an important backdrop to future scientific developments. Additionally, machine learning and artificial intelligence techniques allow for the reduction of time and money spent in the development of new gene therapy products and techniques. In this paper, we survey the current progress of gene therapy treatments for several diseases and explore machine learning applications in gene therapy. We also discuss the ethical implications of gene therapy and the use of machine learning in precision medicine. Machine learning and gene therapy are both topics gaining popularity in various publications, and we conclude that there is still room for continued research and application of machine learning techniques in the gene therapy field.

Keywords:

Machine learning, gene therapy, cancer, hemophilia, cardiovascular disease, neurodegenerative disease, CRISPR, ethics.

Affiliation:

Department of Computer Science, Pacific Lutheran University, Tacoma, WA, Department of Physics, Pacific Lutheran University, Tacoma, WA, Department of Computer Science, Pacific Lutheran University, Tacoma, WA, Department of Computer Science, Pacific Lutheran University, Tacoma, WA, Department of Computer Science, Pacific Lutheran University, Tacoma, WA, Department of Mathematics, Pacific Lutheran University, Tacoma, WA, United States; dDepartment of Humanities, Pacific Lutheran University, Tacoma, WA, Department of Mathematics, Pacific Lutheran University, Tacoma, WA, Department of Humanities, Pacific Lutheran University, Tacoma, WA, Department of Computer Science, Pacific Lutheran University, Tacoma, WA, Division of Computing Software Systems, University of Washington-Bothell, Bothell, WA, Department of Computer Science, Saint Louis University, St. Louis, MO, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, Department of Computer Science, Pacific Lutheran University, Tacoma, WA



Read Full-Text article