• Heart failure prescribing quality at discharge from a critical care unit in Egypt: The impact of multidisciplinary care 

  El Hadidi, Seif; Samir Bazan, Naglaa; Byrne, Stephen; Darweesh, Ebtissam; Bermingham, Margaret (MDPI, 2020-09-01)

  Discharge prescriptions for heart failure (HF) patients may not adhere to the clinical practice guidelines. This study aimed to assess the impact of the clinical pharmacist as a member of a multidisciplinary team on the ...
• Guideline-led prescribing to ambulatory heart failure patients in a cardiology outpatient service 

  El Hadidi, Seif; Vaughan, Carl; Kerins, David; Byrne, Stephen; Darweesh, Ebtissam; Bermingham, Margaret (Springer, 2021-01-07)

  Background Guidelines recommend heart failure (HF) patients be treated with multiple medications at doses proven to improve clinical outcomes. Objective To study guideline-led prescribing in an Irish outpatient HF population. ...
• Stakeholders’ knowledge, attitudes and practices to pharmacovigilance and adverse drug reaction reporting in clinical trials: a mixed methods study 

  O'Riordan, David; Kinane, Mary; Walsh, Kieran A.; Shiely, Frances; Eustace, Joe; Bermingham, Margaret (Springer, 2020-06-07)

  Purpose: The purpose of this study was to explore the knowledge, attitudes and practices of health professionals working in clinical trials, to pharmacovigilance and adverse drug reaction (ADR) reporting. Methods: A mixed ...
• Advances in the design of (nano)formulations for delivery of antisense oligonucleotides and small interfering RNA: Focus on the central nervous system 

  Mendonça, Monique C. P.; Kont, Ayse; Aburto, Maria Rodriguez; Cryan, John F.; O'Driscoll, Caitriona M. (American Chemical Society, 2021-03-18)

  RNA-based therapeutics have emerged as one of the most powerful therapeutic options used for the modulation of gene/protein expression and gene editing with the potential to treat neurodegenerative diseases. However, the ...
• Artificial neural networks to predict the apparent degree of supersaturation in supersaturated lipid-based formulations: A pilot study 

  Bennett-Lenane, Harriet; O'Shea, Joseph P.; Murray, Jack D.; Ilie, Alexandra-Roxana; Holm, René; Kuentz, Martin; Griffin, Brendan T. (MDPI, 2021-09-05)

  In response to the increasing application of machine learning (ML) across many facets of pharmaceutical development, this pilot study investigated if ML, using artificial neural networks (ANNs), could predict the apparent ...

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