Technological Prospection on Artificial Intelligence Sector Applied to Repurposing Drugs Against COVID-19

• Autor(a) principal: Melo, Mauro André Damasceno de
• Data de Publicação: 2023
• Outros Autores: Rocha, Carlos Alberto Machado da
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Cadernos de Prospecção (Online)
• Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/50158
• topic: Pandemia; Inteligência Artificial; Fármacos.; Pandemic; Artificial Intelligence; Drugs.

In a post-pandemic world where the transmission chains of the SARS-CoV-2 virus will still be present, there is a clear necessity to understand machine learning algorithms in artificial intelligence systems with the aim of testing the repurposing drugs against COVID-19. To prospect the scientific-technological production on the subject, a search for the term repurposing AND drugs AND machine learning AND COVID was carried out in the Web of Science, Orbit and Lens databases (2017 to 2022). We identified 71 bibliographic records with authors structured in two groups, with the 2nd group answering by the most recent documents. Nine classes of IPCs were identified with the main technological domains related to the topic and all distributed in 42 active patent documents. Of these, 4 were granted to “RO5” and “Precisionlife” companies. Of the 50 most promising startups in 2022, only two develop this type of technology, which reinforces the existence of a small number of players in this sector and highlights the promising horizon for this area of ​​technology production.