David Broadhurst

Professor

Edith Cowan University

Australia

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Professor David Broadhurst is a faculty member at Edith Cowan University in Australia. His research focuses on precision medicine, metabolomics, and the role of machine learning in health predictions, particularly in asthma and critical illness. He has published extensively on topics such as electronic medical records, urinary metabotypes, and the effects of probiotic therapy in intensive care settings.

Articles (11)

Year:

2025

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (14)

Bernhard Richter

Medical University of Vienna

AUSTRIA

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Boubou Hallberg

Karolinska Institutet

SWEDEN

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Warwick Dunn

Senior Lecturer

University of Birmingham

UNITED KINGDOM

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Mary Boyce

Associate Professor

Edith Cowan University

AUSTRALIA

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Andrea Paparini

Murdoch University

AUSTRALIA

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Jussi Paananen

Assistant Professor of Neurobioinformatics

University of Eastern Finland

FINLAND

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Richard Beger

Branch Chief

UNITED STATES

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Mary Playdon

Assistant Professor

University of Utah

UNITED STATES

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Stacey Reinke

Senior Lecturer

Edith Cowan University

AUSTRALIA

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Angelica Tiotiu

Prof Dr

UCLouvain Saint-Louis Brussels

BELGIUM

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Barbro Dahlén

Karolinska Institutet

SWEDEN

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Anne Smith

Curtin University

AUSTRALIA

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Romanas Chaleckis

Assistant Professor

Nagoya University

JAPAN

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Andrew Currie

Senior Lecturer

Murdoch University

AUSTRALIA

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David Broadhurst

Research Interests

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About

Articles (11)

A roadmap to precision medicine through post-genomic electronic medical records

Does machine learning have a role in the prediction of asthma in children?

Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study

Extraction and quantitative determination of bile acids in feces

A strategy for advancing for population-based scientific discovery using the metabolome: the establishment of the Metabolomics Society Metabolomic Epidemiology Task Group

Early and sustained Lactobacillus plantarum probiotic therapy in critical illness: the randomised, placebo-controlled, restoration of gut microflora in critical illness trial (ROCIT).

Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks

Improvement in the Prediction of Neonatal Hypoxic-Ischemic Encephalopathy with the Integration of Umbilical Cord Metabolites and Current Clinical Makers.

Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners

Study protocol for the safety and efficacy of probiotic therapy on days alive and out of hospital in adult ICU patients: the multicentre, randomised, placebo-controlled Restoration Of gut microflora in Critical Illness Trial (ROCIT).

"notame": Workflow for Non-Targeted LC-MS Metabolic Profiling.

Collaborators (14)

Bernhard Richter

Boubou Hallberg

Warwick Dunn

Mary Boyce

Andrea Paparini

Jussi Paananen

Richard Beger

Mary Playdon

Stacey Reinke

Angelica Tiotiu

Barbro Dahlén

Anne Smith

Romanas Chaleckis

Andrew Currie

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