Read at least 3 of the articles listed bellow and write a 1 page discussion on (total 20 points):
Major advantages of AI models (10 points)
Specific examples of applications of AI models in Agricultural and Life Sciences (10 points)
Include citations on the 3 papers you chose and on any additional references you used for discussing about these topics.
Points will be deducted if you don’t use in-text citation to cite the articles/sources you used for each statement (-1 per missed citation), if you copy and paste text directly from the source articles without using your own words (-5 points), if your text is redundant or repeated to fill up space (-5 points), if you cite articles unrelated to any of the topics discussed (-1 point per out of topic citation), if your statements are incorrect or too general (-3 points), or disagree with the statements in the reference articles provided without a good reason (-3 points).
Recommended scientific articles for the review write up assignment 1:
Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Medicine. 2019 Dec;11(1):1-2.
Eli-Chukwu NC. Applications of artificial intelligence in agriculture: A review. Engineering, Technology & Applied Science Research. 2019 Aug 10;9(4):4377-83.
Haleem A, Javaid M, Khan IH. Current status and applications of artificial intelligence (AI) in medical field: An overview. Current Medicine Research and Practice. 2019 Nov 1;9(6):231-7.
Nichols JA, Herbert Chan HW, Baker MA. Machine learning: applications of artificial intelligence to imaging and diagnosis. Biophysical Reviews. 2019 Feb;11(1):111-8.
Richards B, Tsao D, Zador A. The application of artificial intelligence to biology and neuroscience. Cell. 2022 Jul 21;185(15):2640-3.
Smith KP, Wang H, Durant TJ, Mathison BA, Sharp SE, Kirby JE, Long SW, Rhoads DD. Applications of artificial intelligence in clinical microbiology diagnostic testing. Clinical Microbiology Newsletter. 2020 Apr 15;42(8):61-70.
Koromina M, Pandi MT, Patrinos GP. Rethinking drug repositioning and development with artificial intelligence, machine learning, and omics. Omics: A Journal of Integrative Biology. 2019 Nov 1;23(11):539-48.
Cong Y, Endo T. Multi-omics and artificial intelligence-guided drug repositioning: Prospects, challenges, and lessons learned from COVID-19. OMICS: A Journal of Integrative Biology. 2022 Jul 1;26(7):361-71.
Cui M, Zhang DY. Artificial intelligence and computational pathology. Laboratory Investigation. 2021 Apr;101(4):412-22
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