Andrew Bradley

University of Veterinary Medicine

United Kingdom

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Articles (10)

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (10)

Jasmeet Kaler

University of Nottingham School of Veterinary Medicine and Science

UNITED KINGDOM

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Gemma Charlton

Senior Lecturer in Animal Behaviour and Welfare

Harper Adams University

UNITED KINGDOM

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David Speksnijder

Assistant Professor

Utrecht University

NETHERLANDS

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Martin Green

University of Nottingham

UNITED KINGDOM

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Matthew Barden

University of Liverpool

UNITED KINGDOM

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James Breen

Associate Professor

University of Nottingham

UNITED KINGDOM

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Rachel Clifton

University of Birmingham

UNITED KINGDOM

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Tania Dottorini

University of Nottingham

UNITED KINGDOM

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Peter Down

Associate Dean

University of Central Lancashire

UNITED KINGDOM

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Jake S. Thompson

Clinical Assistant Professor

University of Nottingham

UNITED KINGDOM

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Andrew Bradley

Research Interests

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Articles (10)

Quantification of the effect of in utero events on lifetime resilience in dairy cows

Development and evaluation of predictive models for pregnancy risk in UK dairy cows

Potential of ESBL-producing Escherichia coli selection in bovine feces after intramammary administration of first generation cephalosporins using in vitro experiments

Bedding system influences lying behaviour in dairy cows

Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms

Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test

Reducing antibiotic use in the control of mastitis in dairy herds

Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.

Automated prediction of mastitis infection patterns in dairy herds using machine learning

Collaborators (10)

Jasmeet Kaler

Gemma Charlton

David Speksnijder

Martin Green

Matthew Barden

James Breen

Rachel Clifton

Tania Dottorini

Peter Down

Jake S. Thompson

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