Application of Data Science and Artificial Intelligence in the productive efficiency of radiopharmaceuticals
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2023
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INTERNATIONAL SYMPOSIUM ON TRENDS IN RADIOPHARMACEUTICALS
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Resumo
The present research addresses the application of Data Science and Artificial Intelligence in the
production processes of injectable radiopharmaceuticals in the Radiopharmacy Center, at IPENCNEN.
Center of greatest relevance and production scale in Latin America and one of the main
international ones, which is currently undergoing technological adaptation of its production
processes.
Given the economic and therapeutic importance of the Nuclear Medicine market in global health
systems, valued at USD 5,351.90 million in 2017, it is estimated that it will reach USD 9,981.30
million by 2026, growing at an annual rate. Average of 7.2% over the forecast period.
As a main objective, the study proposes to develop and obtain an innovative operating model
applying automation, Artificial Intelligence resources and Data Science techniques (analytics), to
make the routine of processes and operational indicators safer, predictable, effective and efficient.
This Doctoral study will provide the scientific community of medicine and nuclear technology
with the benefits and returns of the application of artificial intelligence and data science in critical
regulatory, diagnostic and therapeutic activities. And the results will lead to the Radiopharmacy
Center, modernization, innovation and a differential in the practices of its core activities.
Therefore, it is expected to implement through these technologies the improvement in the critical
stages of its production processes, combined with the digital trends of efficiency and good
manufacturing practices.
Como referenciar
DAL BELO, FELIPE; BERNARDES, EMERSON; NASCIMENTO, FERNANDO C.; CALVO, WILSON A.P. Application of Data Science and Artificial Intelligence in the productive efficiency of radiopharmaceuticals. In: INTERNATIONAL SYMPOSIUM ON TRENDS IN RADIOPHARMACEUTICALS, April 17-21, 2023, Vienna, Austria. Abstract... Vienna, Austria: International Atomic Energy Agency - IAEA, 2023. p. 220-220. Disponível em: http://repositorio.ipen.br/handle/123456789/34537. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.