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Orquestación de la IA generativa en farmacovigilancia: predicción y prevención de lo impredecible
Darmendra Ramcharran1, Jeffery L Painter2, Vijay Kara3
1GSK, 1000 Winter Street, Waltham, MA 02451, USA University of Rhode Island, Kingston, RI, USA.
Therapeutic advances in drug safety
|December 23, 2025
Resumen
La inteligencia artificial generativa (GenAI) presenta nuevas oportunidades y desafíos para la farmacovigilancia (FV). Esta revisión explora la integración de GenAI en la seguridad de medicamentos y vacunas, proponiendo un marco para una implementación responsable.
Área de la Ciencia:
- Farmacovigilancia e Inteligencia Artificial
Sus antecedentes:
- La inteligencia artificial generativa (GenAI) está emergiendo rápidamente como una tecnología transformadora.
- La farmacovigilancia (FV) se enfrenta a desafíos cambiantes en la monitorización de la seguridad de medicamentos y vacunas.
- La integración de IA avanzada en dominios de seguridad de alto riesgo requiere una cuidadosa consideración.
Objetivo del estudio:
- Revisar las tendencias emergentes y las aplicaciones prácticas de GenAI en farmacovigilancia.
- Examinar los beneficios potenciales y los riesgos inherentes de GenAI en la seguridad de medicamentos y vacunas.
- Proponer un marco para la integración ética y eficaz de GenAI en los sistemas de FV.
Principales métodos:
- Esta revisión de perspectiva sintetiza datos experimentales actuales y aplicaciones tempranas en el mundo real.
- Analiza marcos conceptuales para la adopción de GenAI en farmacovigilancia.
- La revisión enfatiza pruebas rigurosas, supervisión humana y consideraciones éticas.
Principales resultados:
- La GenAI ofrece importantes oportunidades para mejorar los procesos de farmacovigilancia.
- Los riesgos potenciales incluyen la privacidad de los datos, el sesgo algorítmico y la necesidad de una validación sólida.
- Se propone un marco estructurado para guiar la implementación de GenAI en FV.
Conclusiones:
- La GenAI puede revolucionar la farmacovigilancia si se implementa de manera reflexiva.
- La integración exitosa requiere un enfoque en la seguridad, la ética y la colaboración humano-IA.
- Este trabajo apoya a los profesionales de FV en la navegación del panorama cambiante de la IA en la seguridad de medicamentos.
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