Jesus Rodriguez Manzano

Lecturer (Assistant Professor) in Antimicrobial Resistance and Infectious Diseases

Imperial College London

United Kingdom

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About

Jesus Rodriguez Manzano is a Lecturer (Assistant Professor) in Antimicrobial Resistance and Infectious Diseases at Imperial College London, UK. His research areas focus on the development of advanced diagnostic tools for infectious diseases and cancer detection, highlighted by recent publications on rapid detection technologies and point-of-care devices. He has contributed significantly to the fields of microfluidics, machine learning, and molecular diagnostics.

Articles (11)

Year:

2024

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2022

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2022

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2022

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2022

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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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2021

Collaborators (8)

Samuel Channon-Wells

University of Oxford

UNITED KINGDOM

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Francesca Romana Cavallo

Imperial College London

UNITED KINGDOM

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Khalid Baig Mirza

Imperial College London

UNITED KINGDOM

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Marta Rusiñol

Postdoctoral researcher and Assistant lecturer

University of Barcelona

SPAIN

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Melpomeni Kalofonou

Imperial College London

UNITED KINGDOM

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Kerri Hill-Cawthorne

University of Liverpool

UNITED KINGDOM

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Alexander William Tucker

Professor of Veterinary Public Health

University of Cambridge

UNITED KINGDOM

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Konstantin Nikolic

Imperial College London

UNITED KINGDOM

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Jesus Rodriguez Manzano

Research Interests

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About

Articles (11)

Offsetting Dense Particle Sedimentation in Microfluidic Systems

A Point-of-Care Device for Fully Automated, Fast and Sensitive Protein Quantification via qPCR

Bridging a diagnostic Kawasaki disease classifier from a microarray platform to a qRT-PCR assay.

Lab-on-chip assay of tumour markers and human papilloma virus for cervical cancer detection at the point-of-care.

Rapid Detection of <i>Actinobacillus pleuropneumoniae</i> From Clinical Samples Using Recombinase Polymerase Amplification.

Corrigendum to "Metagenomics for the study of viruses in urban sewage as a tool for public health surveillance" [Sci. Total Environ. 618 (2016) 870-880 10.1016/j.scitotenv.2017.08.249].

Coupling Machine Learning and High Throughput Multiplex Digital PCR Enables Accurate Detection of Carbapenem-Resistant Genes in Clinical Isolates.

Loop-Mediated Isothermal Amplification Assay for Detecting Tumor Markers and Human Papillomavirus: Accuracy and Supplemental Diagnostic Value to Endovaginal MRI in Cervical Cancer.

Discovery and validation of a three-gene signature to distinguish COVID-19 and other viral infections in emergency infectious disease presentations: a case-control and observational cohort study.

Detection of Multiple Breast Cancer ESR1 Mutations on an ISFET Based Lab-on-Chip Platform.

Translation of a Host Blood RNA Signature Distinguishing Bacterial From Viral Infection Into a Platform Suitable for Development as a Point-of-Care Test.

Collaborators (8)

Samuel Channon-Wells

Francesca Romana Cavallo

Khalid Baig Mirza

Marta Rusiñol

Melpomeni Kalofonou

Kerri Hill-Cawthorne

Alexander William Tucker

Konstantin Nikolic

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