AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP

In the healthcare industry, the ever-increasing volume of clinical trial data presents challenges for ensuring drug safety and detecting adverse drug reactions (ADRs). This study aims to address the challenge of accurately detecting Serious Adverse Events (SAEs) in pharmacovigilance, a critical comp...

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Detalhes bibliográficos

Principais autores:	Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
coleção:	MethodsX
Assuntos:	Pharmacovigilance Adverse drug reactions (ADRs) Artificial intelligence Machine learning Clinical trial data processing deep learning Natural language processing (NLP)
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S221501612500305X
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