Harriet Bennett-Lenane

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Lecturer in Clinical Pharmaceutics

University College Cork

Ireland

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Addressing the Problem of Variable Food Effect Bioavailability for Emerging New Drug Candidates: How to Predict and How to Reduce.

Open Date: 2018-01-01

Close Date:

Positions (1)

Harriet Bennett-Lenane

University Name

University College Cork

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Pharmacy

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Articles (8)

Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks

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Year:

2022

Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study

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Year:

2021

In Silico, In Vitro, and In Vivo Evaluation of Precipitation Inhibitors in Supersaturated Lipid-Based Formulations of Venetoclax

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Year:

2021

Exploring porcine gastric and intestinal fluids using microscopic and solubility estimates: Impact of placebo self-emulsifying drug delivery system administration to inform bio-predictive in vitro tools

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Year:

2021

Characterization of gastrointestinal transit and luminal conditions in pigs using a telemetric motility capsule

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Year:

2021

Applying Computational Predictions of Biorelevant Solubility Ratio Upon Self-Emulsifying Lipid-Based Formulations Dispersion to Predict Dose Number

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Year:

2020

Novel Biphasic Lipolysis Method to Predict in Vivo Performance of Lipid-Based Formulations

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Year:

2020

A Retrospective Biopharmaceutical Analysis of >800 Approved Oral Drug Products: Are Drug Properties of Solid Dispersions and Lipid-Based Formulations Distinctive?

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Year:

2020

Collaborators (3)

Joseph O’Shea

Lecturer in Pharmaceutics

University College Cork

IRELAND

Patrick O'Dwyer

Lecturer in Pharmaceutics

University College Cork

IRELAND

Niklas Koehl

University College Cork National University of Ireland

IRELAND

Harriet Bennett-Lenane

Research Interests

Explore related searches

Contact this professor

Recent Grants

Positions (1)

Pharmacy

Articles (8)

Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks

Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study

In Silico, In Vitro, and In Vivo Evaluation of Precipitation Inhibitors in Supersaturated Lipid-Based Formulations of Venetoclax

Exploring porcine gastric and intestinal fluids using microscopic and solubility estimates: Impact of placebo self-emulsifying drug delivery system administration to inform bio-predictive in vitro tools

Characterization of gastrointestinal transit and luminal conditions in pigs using a telemetric motility capsule

Applying Computational Predictions of Biorelevant Solubility Ratio Upon Self-Emulsifying Lipid-Based Formulations Dispersion to Predict Dose Number

Novel Biphasic Lipolysis Method to Predict in Vivo Performance of Lipid-Based Formulations

A Retrospective Biopharmaceutical Analysis of >800 Approved Oral Drug Products: Are Drug Properties of Solid Dispersions and Lipid-Based Formulations Distinctive?

Collaborators (3)

Joseph O’Shea

Patrick O'Dwyer

Niklas Koehl

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