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Valérian Turbé

Researcher at London Centre for Nanotechnology

Publications -  10
Citations -  190

Valérian Turbé is an academic researcher from London Centre for Nanotechnology. The author has contributed to research in topics: Quality assurance & Recombinase Polymerase Amplification. The author has an hindex of 5, co-authored 9 publications receiving 81 citations. Previous affiliations of Valérian Turbé include University College London.

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Towards an ultra-rapid smartphone- connected test for infectious diseases.

TL;DR: The findings presented here open up the potential of consumer electronics to cut lengthy test waiting times, giving patients on the spot access to potentially life-saving treatment and supporting more timely public health interventions to prevent disease transmission.
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Unravelling the Molecular Basis of High Affinity Nanobodies against HIV p24: In Vitro Functional, Structural, and in Silico Insights

TL;DR: The creation of a library of novel nanobody capture ligands to detect p24, one of the earliest markers of HIV infection, is reported, demonstrating that these nanobodies exhibit high sensitivity and broad specificity to global HIV-1 subtypes.
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Harnessing recombinase polymerase amplification for rapid multi-gene detection of SARS-CoV-2 in resource-limited settings.

TL;DR: In this paper, a multiplexed, 1-2-step, fast (20-30min) SARS-CoV-2 molecular test using reverse transcription recombinase polymerase amplification was developed to simultaneously detect two conserved targets -the E and RdRP genes.
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Deep learning of HIV field-based rapid tests.

TL;DR: In this article, the authors used deep learning to classify images of rapid human immunodeficiency virus (HIV) tests acquired in rural South Africa using newly developed image capture protocols with the Samsung SM-P585 tablet.
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Ultra-rapid, sensitive and specific digital diagnosis of HIV with a dual-channel SAW biosensor in a pilot clinical study

TL;DR: A pilot clinical study of surface acoustic wave biosensors based on low-cost components found in smartphones to diagnose HIV in 133 patient samples showed excellent sensitivity, specificity, low sample volumes and rapid time to result, and were benchmarked to commercial rapid HIV tests.