New methodologies in ageing research

Research output: Contribution to journal › Review › Research › peer-review

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New methodologies in ageing research. / Osborne, Brenna; Bakula, Daniela; Ben Ezra, Michael; Dresen, Charlotte; Hartmann, Esben; Kristensen, Stella M.; Mkrtchyan, Garik V.; Nielsen, Malte H.; Petr, Michael A.; Scheibye-Knudsen, Morten.

In: Ageing Research Reviews, Vol. 62, 101094, 2020.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Osborne, B, Bakula, D, Ben Ezra, M, Dresen, C, Hartmann, E, Kristensen, SM, Mkrtchyan, GV, Nielsen, MH, Petr, MA & Scheibye-Knudsen, M 2020, 'New methodologies in ageing research', Ageing Research Reviews, vol. 62, 101094. https://doi.org/10.1016/j.arr.2020.101094

APA

Osborne, B., Bakula, D., Ben Ezra, M., Dresen, C., Hartmann, E., Kristensen, S. M., Mkrtchyan, G. V., Nielsen, M. H., Petr, M. A., & Scheibye-Knudsen, M. (2020). New methodologies in ageing research. Ageing Research Reviews, 62, [101094]. https://doi.org/10.1016/j.arr.2020.101094

Vancouver

Osborne B, Bakula D, Ben Ezra M, Dresen C, Hartmann E, Kristensen SM et al. New methodologies in ageing research. Ageing Research Reviews. 2020;62. 101094. https://doi.org/10.1016/j.arr.2020.101094

Author

Osborne, Brenna ; Bakula, Daniela ; Ben Ezra, Michael ; Dresen, Charlotte ; Hartmann, Esben ; Kristensen, Stella M. ; Mkrtchyan, Garik V. ; Nielsen, Malte H. ; Petr, Michael A. ; Scheibye-Knudsen, Morten. / New methodologies in ageing research. In: Ageing Research Reviews. 2020 ; Vol. 62.

Bibtex

@article{e349b27c65c34f0fa75daf9ef81d1a33,
title = "New methodologies in ageing research",
abstract = "Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.",
keywords = "Ageing, High-throughput methods, Machine learning, Model organisms",
author = "Brenna Osborne and Daniela Bakula and {Ben Ezra}, Michael and Charlotte Dresen and Esben Hartmann and Kristensen, {Stella M.} and Mkrtchyan, {Garik V.} and Nielsen, {Malte H.} and Petr, {Michael A.} and Morten Scheibye-Knudsen",
year = "2020",
doi = "10.1016/j.arr.2020.101094",
language = "English",
volume = "62",
journal = "Ageing Research Reviews",
issn = "1568-1637",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - New methodologies in ageing research

AU - Osborne, Brenna

AU - Bakula, Daniela

AU - Ben Ezra, Michael

AU - Dresen, Charlotte

AU - Hartmann, Esben

AU - Kristensen, Stella M.

AU - Mkrtchyan, Garik V.

AU - Nielsen, Malte H.

AU - Petr, Michael A.

AU - Scheibye-Knudsen, Morten

PY - 2020

Y1 - 2020

N2 - Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.

AB - Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.

KW - Ageing

KW - High-throughput methods

KW - Machine learning

KW - Model organisms

U2 - 10.1016/j.arr.2020.101094

DO - 10.1016/j.arr.2020.101094

M3 - Review

C2 - 32512174

AN - SCOPUS:85087496149

VL - 62

JO - Ageing Research Reviews

JF - Ageing Research Reviews

SN - 1568-1637

M1 - 101094

ER -

ID: 244610819