Clinical Text Analysis | Deep Learning | Machine Learning | Pharmacovigilance Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets. March 6, 2024
Clinical Pharmacology | Pharmacovigilance | Precision Medicine Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists. February 10, 2024
Biomedical Text Extraction | Natural Language Processing (NLP) | Pharmacovigilance Extracting adverse drug events from clinical Notes: A systematic review of approaches used. February 8, 2024
Pharmacovigilance | Traditional Chinese Medicine TIRPnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network. February 5, 2024
Drug Safety | Pharmacovigilance Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance. November 8, 2023
Artificial Intelligence | NLP | Pharmacovigilance A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. October 2, 2023
Artificial Intelligence | Electronic Health Records | Pharmacovigilance Artificial Intelligence-Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study. September 29, 2023
Clinical Pharmacology | Pharmacovigilance Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework. August 24, 2023
Bioinformatics | Pharmacology | Pharmacovigilance Multimodal representation learning for predicting molecule-disease relations. February 22, 2023
Biomedical Literature Analysis | Pharmacovigilance LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning. December 22, 2022
Internal Medicine | Natural Language Processing | Pharmacovigilance Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions. December 4, 2022
Natural Language Processing | Pharmacovigilance Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation. October 31, 2022