Log in to save to my catalogue

Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4490343

Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

About this item

Full title

Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2015-07, Vol.5 (1), p.11817, Article 11817

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Current preclinical screening methods do not adequately detect cardiotoxicity. Using human induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs), more physiologically relevant preclinical or patient-specific screening to detect potential cardiotoxic effects of drug candidates may be possible. However, one of the persistent challenges for d...

Alternative Titles

Full title

Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4490343

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4490343

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/srep11817

How to access this item