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Works Cited

Amazon. “What Is Deep Learning? Deep Learning Explained - AWS.” Amazon Web Services, Inc., 2023, aws.amazon.com/what-is/deep-learning/. Accessed 4 Nov. 2024.

Anderson, Stefan. “Antimicrobial Resistance Death Toll Could Catch up to Cancer by 2050, and Pollution Is Fuelling Its Spread - Health Policy Watch.” Health Policy Watch, 7 Feb. 2023, healthpolicy-watch.news/antimicrobial-resistance-deaths-cancer/. Accessed 4 Nov. 2024.

Davies, Julian. “Where Have All the Antibiotics Gone?” The Canadian Journal of Infectious Diseases & Medical Microbiology = Journal Canadien Des Maladies Infectieuses et de La Microbiologie Medicale, vol. 17, no. 5, 2006, pp. 287–90, www.ncbi.nlm.nih.gov/pmc/articles/PMC2095086/, https://doi.org/10.1155/2006/707296. Accessed 4 Nov. 2024.

Geeks for geeks. “Artificial Neural Networks and Its Applications.” GeeksforGeeks, 24 June 2020, www.geeksforgeeks.org/artificial-neural-networks-and-its-applications/. Accessed 4 Nov. 2024.

Hutchings, Matthew I., et al. “Antibiotics: Past, Present and Future.” Current Opinion in Microbiology, vol. 51, no. 1, Oct. 2019, pp. 72–80, www.sciencedirect.com/science/article/pii/S1369527419300190, https://doi.org/10.1016/j.mib.2019.10.008. Accessed 4 Nov. 2024.

Mariya 
Lobanovska, and Giulia Pilla. “Penicillin’s Discovery and Antibiotic Resistance: Lessons for the Future?” The Yale Journal of Biology and Medicine, vol. 90, no. 1, 29 Mar. 2017, p. 135, pmc.ncbi.nlm.nih.gov/articles/PMC5369031/. Accessed 4 Nov. 2024.

Roy, Rahul. “ML | Monte Carlo Tree Search (MCTS).” GeeksforGeeks, 14 Jan. 2019, www.geeksforgeeks.org/ml-monte-carlo-tree-search-mcts/. Accessed 4 Nov. 2024.

Stokes, Jonathan M., et al. “A Deep Learning Approach to Antibiotic Discovery.” Cell, vol. 180, no. 4, 20 Feb. 2020, pp. 688-702.e13, www.cell.com/cell/fulltext/S0092-8674(20)30102-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867420301021%3Fshowall%3Dtrue#secsectitle0020, https://doi.org/10.1016/j.cell.2020.01.021. Accessed 4 Nov. 2024.

Swanson, Kyle, et al. “Generative AI for Designing and Validating Easily Synthesizable and Structurally Novel Antibiotics.” Nature Machine Intelligence, vol. 6, no. 3, 1 Mar. 2024, pp. 338–353, www.nature.com/articles/s42256-024-00809-7, https://doi.org/10.1038/s42256-024-00809-7. Accessed 2 Oct. 2024.

Tompa, Rachel. “Generative AI Develops Potential New Drugs for Antibiotic-Resistant Bacteria.” News Center, 20 Dec. 2022, med.stanford.edu/news/all-news/2024/03/ai-drug-development.html. Accessed 2 Nov. 2024.

World Health Organization. “Antimicrobial Resistance.” World Health Organization, 21 Nov. 2023, www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance. Accessed 4 Nov. 2024.