Yeager, A. (2019, May 1). Could AI Make Gene Editing More Accurate? Retrieved November 13, 2019, from https://www.the-scientist.com/the-literature/could-ai-make-gene-editing-more-accurate-65781.
The source states that patterns in sequence repair allow scientists to accurately predict guide RNAs that will reproduce exact human mutations and could lead to the ability to cure or prevent genetic diseases. The author has cited several scholarly sources in their work. I chose this source because it strengthens my argument in that genetic engineering has benefits in pathology that should not be overlooked. This source was written quite recently, and reflects new and updated information in the field. I found this resource through Google Scholar and by inputting keywords such as “genetic” and “artificial” into my search. It is hosted by The Scientist, an online publication.
Dickson, E. M. (1984). Comparing Artificial Intelligence and Genetic Engineering: Commercialization Lessons. AI Magazine, 5(4), 44–47. Retrieved from https://pdfs.semanticscholar.org/a871/52cf72a31b1fc149af6347d75d433afb5bfd.pdf
The source states that the movement of artificial intelligence into the mainstream industry instead of just for research purposes is similar to that of the commercialization of genetic engineering. The author is a biological researcher, meaning that he is well-versed in the topics of genetic engineering as well as artificial intelligence. I chose this source because it shows the similarities and differences between the commercialization of genetic engineering and artificial intelligence. This source covers the period of time in which artificial first began to bloom, but still holds relevant today since the comparisons remain generally true. I found this source through Google Scholar by limiting my search query to include keywords such as “genetic” and “artificial, as well as narrowing the date down to the more recent decades to reflect the development of the industry as a whole. This source is hosted by AI Magazine.
Artificial intelligence developed by programmers and medical researchers collectively has largely benefitted the medical field, allowing for medical procedures to be done more efficiently and with less risk.
Name: Yongjian Wang
Position: Software Engineer
From Beth’s presentation, I was able to learn about the variety of resources that Ohio State students have at their disposal. The library consists of a database in which students can use search functions to find scholarly papers and other resources that can help them in not only research but data, such as graphs, tables, figures, and/or images. This is important because knowing how to use the library to its fullest extent, and understanding all the resources it has to offer, helps students succeed academically. I will likely be using this information in my classes in the future, as many of them involve research and academic papers. Therefore, since I know how to properly search the database and use its features to their fullest extent, it will be easier for me to find sources efficiently.
Author: Edward M. Dickson
Title: Comparing Artificial Intelligence and Genetic Engineering: Commercialization Lessons
Author: Ashley Yeager
Title: Could AI Make Gene Editing More Accurate?
Author: Walter G. Johnson
Title: Where Genome Editing and Artificial Intelligence Collide
My interview topic is going to be artificial intelligence, as I plan to minor in Computer Information Systems.