Author

Valerie Taylor

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 3

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Organism:mouse· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1

Frequent Co-Authors

Simon Walker-SamueliD· 3 shared Angela d’Esposito· 2 shared Ben Hipwell· 2 shared Giulia Agliardi· 2 shared Mark F. Lythgoe· 2 shared Rajiv Ramasawmy· 2 shared Tom A. Roberts· 2 shared Alasdair Gibb· 1 shared

Activity by Year

2017-2017 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBiophysics

Simon Walker-SamuelORCID

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3 papers

Recent·Most cited

Development of noninvasive biomarkers of response to proteasome inhibitor therapy (ixazomib) by imaging disrupted protein homeostasis in mouse models of solid tumors

Yanan Zhu, Rajiv Ramasawmy, Sean Peter Johnson, Valerie Taylor, Alasdair Gibb, R Barbara Pedley, Nibedita Chattopadhyay, Mark F Lythgoe, Xavier Golay, Daniel Bradley, Simon Walker-Samuel

This study uses CEST MRI to noninvasively monitor proteasome inhibitor response in mouse tumor models, showing increased CEST signals with higher drug doses and varying tumor sensitivity.

bioRxiv · Sep 25, 2017 · PreprintBiophysics

Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy

Tom A. Roberts, Ben Hipwell, Giulia Agliardi, Angela d’Esposito, Valerie Taylor, Mark F. Lythgoe, Simon Walker-Samuel

This paper introduces DLDF, a deep learning method that detects brain tumor response to chemotherapy using diffusion-weighted MRI in a mouse model, showing it can segment tumors, distinguish tumor age, and detect chemotherapy effects with limited data.

bioRxiv · Sep 25, 2017 · PreprintBiophysics

Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI

Tom A. Roberts, Harpreet Hyare, Giulia Agliardi, Ben Hipwell, Angela d’Esposito, Andrada Ianus, James O. Breen-Norris, Rajiv Ramasawmy, Valerie Taylor, David Atkinson, Shonit Punwani, Mark F. Lythgoe, Bernard Siow, Sebastian Brandner, Jeremy Rees, , Simon Walker-Samuel

This study evaluates VERDICT MRI for detecting early response to Temozolomide therapy in brain tumours, showing it is more sensitive than structural or ADC measurements.

bioRxiv · Aug 30, 2017 · PreprintBiophysics