Abstract
Watson for Drug Discovery (WDD) is a cloud-based, end-to-end scalable platform that helps life science researchers discover new disease pathways, new drug targets, and additional drug indications. It ingests both structured and unstructured content from multiple internal and external heterogeneous sources. It then uses natural language processing and domain-specific ontologies to annotate this content so that the machine can read and understand the content more like the way a domain expert would.
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References
Bakkar N et al. Artificial intelligence in neurodegenerative disease research: Use of Ibm Watson to identify additional rna-binding proteins altered in amyotrophic lateral sclerosis. Acta neuropathol. 2018;135.2:227–47.
Johnston TH et al. Repurposing drugs to treat L-Dopa-induced dyskinesia in Parkinson’s disease. Neuropharmacology (2018).
Spangler S et al. Automated hypothesis generation based on mining scientific literature. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM; 2014.
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Spangler, S. (2019). Accelerating Discovery with Cognitive—An Example Cognitive Application for Discovery: Watson for Drug Discovery. In: Betz, U. (eds) Curious2018. Springer, Cham. https://doi.org/10.1007/978-3-030-16061-6_14
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DOI: https://doi.org/10.1007/978-3-030-16061-6_14
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