Výsledky vyhledávání - "Andrew M, Thomas"

Akademický článek

A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard

Autor: Andrew M. Thomas, Stephen Noble

Publikováno v: Frontiers in Earth Science, Vol 12 (2024)

To convert lightning indices generated by numerical weather prediction experiments into binary lightning hazard, a machine-learning tool was developed. This tool, consisting of parallel multilayer perceptron classifiers, was trained on an ensemble of

Externí odkaz: https://doaj.org/article/46c0cd688dc7443cbb5523d3a58a994b

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Akademický článek

Total serum N-glycans associate with response to immune checkpoint inhibition therapy and survival in patients with advanced melanoma

Publikováno v: BMC Cancer, Vol 23, Iss 1, Pp 1-12 (2023)

Abstract Background Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of melanoma and other cancers. However, no reliable biomarker of survival or response has entered the clinic to identify those patients with melanoma who are mo

Externí odkaz: https://doaj.org/article/50b511b7f9af46e6993f096da9d33865

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Akademický článek

MetaPhlAn 4 profiling of unknown species-level genome bins improves the characterization of diet-associated microbiome changes in mice

Publikováno v: Cell Reports, Vol 42, Iss 5, Pp 112464- (2023)

Summary: Mouse models are key tools for investigating host-microbiome interactions. However, shotgun metagenomics can only profile a limited fraction of the mouse gut microbiome. Here, we employ a metagenomic profiling method, MetaPhlAn 4, which expl

Externí odkaz: https://doaj.org/article/408e6ebd6fcc4b37b16606edb4ac67d1

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Akademický článek

A probiotic has differential effects on allergic airway inflammation in A/J and C57BL/6 mice and is correlated with the gut microbiome

Publikováno v: Microbiome, Vol 9, Iss 1, Pp 1-16 (2021)

Abstract The phenotypes of allergic airway diseases are influenced by the interplay between host genetics and the gut microbiota, which may be modulated by probiotics. We investigated the probiotic effects on allergic inflammation in A/J and C57BL/6

Externí odkaz: https://doaj.org/article/fe64bd89f1b949a2a32e5bc4468b05c1

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Akademický článek

Faecal microbiota transplantation for the treatment of diarrhoea induced by tyrosine-kinase inhibitors in patients with metastatic renal cell carcinoma

Autor: Gianluca Ianiro, Ernesto Rossi, Andrew M. Thomas, Giovanni Schinzari, Luca Masucci, Gianluca Quaranta, Carlo Romano Settanni, Loris Riccardo Lopetuso, Federica Armanini, Aitor Blanco-Miguez, Francesco Asnicar, Clarissa Consolandi, Roberto Iacovelli, Maurizio Sanguinetti, Giampaolo Tortora, Antonio Gasbarrini, Nicola Segata, Giovanni Cammarota

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-6 (2020)

Tyrosine kinase inhibitors (TKIs) have improved the clinical outcomes of patients with metastatic renal cell carcinoma (mRCC), however TKI-related diarrhoea is a common and serious adverse effect. Here the authors show in a randomized clinical trial

Externí odkaz: https://doaj.org/article/ab5ae20fc58c49258c28693a84568fb9

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Akademický článek

Maternal supplementation with a synbiotic has distinct outcomes on offspring gut microbiota formation in A/J and C57BL/6 mice, differentially affecting airway inflammatory cell infiltration and mucus production

Autor: Claudio Fukumori, Mateus B. Casaro, Andrew M. Thomas, Eduardo Mendes, Willian R. Ribeiro, Amanda R. Crisma, Gilson M. Murata, Bruna Bizzarro, Emmanuel Dias-Neto, Joao C. Setubal, Maria A. Oliveira, Wothan Tavares-de-Lima, Rui Curi, Silvana Bordin, Patricia Sartorelli, Caroline M. Ferreira

Publikováno v: Journal of Functional Foods, Vol 61, Iss , Pp - (2019)

Emerging evidence has shown that the maternal diet influences the microbiota. Our objective was to elucidate whether synbiotic consumption during the perinatal period equally modulates offspring gut microbiota in the A/J and C57BL/6 and affects airwa

Externí odkaz: https://doaj.org/article/8a57199aebe24a11b6b740ace74f0296

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Feature detection and hypothesis testing for extremely noisy nanoparticle images using topological data analysis

Autor: Andrew M. Thomas, Peter A. Crozier, Yuchen Xu, David S. Matteson

We propose a flexible algorithm for feature detection and hypothesis testing in images with ultra low signal-to-noise ratio using cubical persistent homology. Our main application is in the identification of atomic columns and other features in trans

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ae389ddd8db28c64ab6611efb54d67c
http://arxiv.org/abs/2209.13584

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