Review

Published on 21 Dec 2023

A review of the prescribing culture of anti-depressants across government districts in Northern Ireland

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Mark W. Ruddock
Joanne Watt
Mary Jo Kurth
John V. Lamont
Laura Mooney
Peter Fitzgerald

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1303572

1,343 views
1 citation

Correction

Published on 04 Dec 2023

Corrigendum: An industry perspective on the use of machine learning in drug and vaccine safety

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Jeffery L. Painter
Raymond Kassekert
Andrew Bate

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1244115

492 views

Original Research

Published on 23 Nov 2023

Drug target, class level, and PathFX pathway information share utility for machine learning prediction of common drug-induced side effects

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Han Jie Liu
Jennifer L. Wilson

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1287535

1,052 views

Original Research

Published on 15 Sep 2023

Identification of small cell lung cancer patients who are at risk of developing common serious adverse event groups with machine learning

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Linda Wanika
Neil D. Evans
Michael J. Chappell

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1267623

654 views

Methods

Published on 06 Sep 2023

Navigating a transforming landscape: the evolving role of pharmacovigilance physicians in drug development and implications for future challenges and training requirements

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Tarek A. Hammad
Salman Afsar
Herve Le-Louet
Veronique F. Kugener

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1257732

2,959 views
2 citations

Original Research

Published on 04 Aug 2023

Evaluation of cardiovascular toxicity of the atezolizumab and bevacizumab combination

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Takahiro Niimura
Mitsuhiro Goda
Koji Miyata
Jun Matsumoto
Toshihiko Yoshioka
Hirofumi Hamano
Fuka Aizawa
Kenta Yagi
Yuki Izawa-Ishizawa
Yoshito Zamami

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1213771

1,552 views

Original Research

Published on 17 Jul 2023

Signal management and risk minimization strategy: a case study on obinutuzumab and non-overt disseminated intravascular coagulation

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Giulia Valdiserra
Nadia Mores
Rosalba Elisabetta Rocchi
Laura Sottosanti
Patrizia Felicetti
Pasquale Marchione
Luca Laurenti
Alberto Fresa
Giampaolo Bucaneve
Emiliano Cappello

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1194683

986 views
1 citation

Methods

Published on 25 May 2023

Aspects to consider in causality assessment of safety signals: broadening the thought process

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Tarek A. Hammad
Salman Afsar
Laura B. McAvoy
Hervé Le Louet

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1193413

7,062 views
7 citations

Editorial

Published on 21 Apr 2023

Editorial: Computational methods and systems to support decision making in pharmacovigilance

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Taxiarchis Botsis
Robert Ball
G. Niklas Norén

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1188715

951 views

Original Research

Published on 07 Feb 2023

Natural language processing for automated triage and prioritization of individual case safety reports for case-by-case assessment

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Thomas Lieber
Helen R. Gosselt
Pelle C. Kools
Okko C. Kruijssen
Stijn N. C. Van Lierop
Linda Härmark
Florence P. A. M. Van Hunsel

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1120135

1,988 views
2 citations

Perspective

Published on 01 Feb 2023

An industry perspective on the use of machine learning in drug and vaccine safety

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Jeffery L. Painter
Raymond Kassekert
Andrew Bate

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2023.1110498

3,309 views
7 citations

Technology and Code

Published on 19 Jan 2023

An open-source platform integrating emerging data sources to support multi-modal active pharmacovigilance

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Vlasios K. Dimitriadis
Stella Dimitsaki
Achilleas Chytas
George I. Gavriilidis
Christine Kakalou
Panos Bonotis
Pantelis Natsiavas

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2022.1016042

1,815 views
4 citations

Brief Research Report

Published on 14 Nov 2022

Evaluation of a natural language processing tool for extracting gender, weight, ethnicity, and race in the US food and drug administration adverse event reporting system

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Vivian Dang
Eileen Wu
Cindy M. Kortepeter
Michael Phan
Rongmei Zhang
Yong Ma
Monica A. Muñoz

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2022.1020943

1,283 views
4 citations

Brief Research Report

Published on 10 Nov 2022

Exploring opportunities for AI supported medication error categorization: A brief report in human machine collaboration

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Allan Fong
Christopher Bonk
Varvara Vasilchenko
Suranjan De
Douglas Kovich
Jo Wyeth

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2022.1021068

1,623 views
1 citation

Opinion

Published on 26 Oct 2022

Establishing patient safety monitoring in the benefit-risk paradigm for off-label and emergency use of medications for COVID-19: A pharmacovigilance perspective

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Marina A. Malikova
Gianluca Trifirò
Giorgio Racagni
Dennis Van Liew
Peggy Webster
Tejal S. Brahmbhatt

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2022.1038235

948 views

Brief Research Report

Published on 25 Oct 2022

Riluzole use in presence of contraindications in adults affected by amyotrophic lateral sclerosis and its off-label use in other motor neuron diseases: Findings from an Italian multicentre study (the CAESAR project)

in Advanced Methods in Pharmacovigilance and Pharmacoepidemiology

Giada Crescioli
Marco Finocchietti
Silvia Cascini
Olga Paoletti
David Franchini
Emiliano Cappello
Giulia Valdiserra
Francesco Sciancalepore
Maria Grazia Celani
Marco Tuccori

Frontiers in Drug Safety and Regulation

doi 10.3389/fdsfr.2022.1041275

2,479 views
5 citations

Navigation group

Articles

A review of the prescribing culture of anti-depressants across government districts in Northern Ireland

Corrigendum: An industry perspective on the use of machine learning in drug and vaccine safety

Drug target, class level, and PathFX pathway information share utility for machine learning prediction of common drug-induced side effects

Identification of small cell lung cancer patients who are at risk of developing common serious adverse event groups with machine learning

Navigating a transforming landscape: the evolving role of pharmacovigilance physicians in drug development and implications for future challenges and training requirements

Evaluation of cardiovascular toxicity of the atezolizumab and bevacizumab combination

Signal management and risk minimization strategy: a case study on obinutuzumab and non-overt disseminated intravascular coagulation

Aspects to consider in causality assessment of safety signals: broadening the thought process

Editorial: Computational methods and systems to support decision making in pharmacovigilance

Natural language processing for automated triage and prioritization of individual case safety reports for case-by-case assessment

An industry perspective on the use of machine learning in drug and vaccine safety

An open-source platform integrating emerging data sources to support multi-modal active pharmacovigilance

Evaluation of a natural language processing tool for extracting gender, weight, ethnicity, and race in the US food and drug administration adverse event reporting system

Exploring opportunities for AI supported medication error categorization: A brief report in human machine collaboration

Establishing patient safety monitoring in the benefit-risk paradigm for off-label and emergency use of medications for COVID-19: A pharmacovigilance perspective

Riluzole use in presence of contraindications in adults affected by amyotrophic lateral sclerosis and its off-label use in other motor neuron diseases: Findings from an Italian multicentre study (the CAESAR project)