The virtual assay software for human in silico drug trials to augment drug cardiac testing
Prediction of drug effects on the heart still represents a challenge in drug development, given potential adverse outcomes. Computer modelling and simulations of the human heart offer a powerful technology to augment existing animal and clinical methodologies. Here we describe the translation proces...
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Journal article |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Elsevier
2020
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| _version_ | 1826304551562510336 |
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| author | Passini, E Zhou, X Trovato, C Britton, OJ Bueno-Orovio, A Rodriguez, B |
| author_facet | Passini, E Zhou, X Trovato, C Britton, OJ Bueno-Orovio, A Rodriguez, B |
| author_sort | Passini, E |
| collection | OXFORD |
| description | Prediction of drug effects on the heart still represents a challenge in drug development, given potential adverse outcomes. Computer modelling and simulations of the human heart offer a powerful technology to augment existing animal and clinical methodologies. Here we describe the translation process that led to the development and uptake of Virtual Assay, a user-friendly software to perform in silico drug trials in population of human cardiac models. Through this work, we contributed to the uptake of in silico modelling and simulations in industry and regulatory paradigms, and demonstrated accurate and mechanistic predictions of drug-induced cardiac pro-arrhythmic toxicity. |
| first_indexed | 2024-03-07T06:19:33Z |
| format | Journal article |
| id | oxford-uuid:f243f3c3-6a45-433c-a5c4-3cf5fc5add8d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:19:33Z |
| publishDate | 2020 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:f243f3c3-6a45-433c-a5c4-3cf5fc5add8d2022-03-27T12:02:18ZThe virtual assay software for human in silico drug trials to augment drug cardiac testingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f243f3c3-6a45-433c-a5c4-3cf5fc5add8dEnglishSymplectic ElementsElsevier 2020Passini, EZhou, XTrovato, CBritton, OJBueno-Orovio, ARodriguez, BPrediction of drug effects on the heart still represents a challenge in drug development, given potential adverse outcomes. Computer modelling and simulations of the human heart offer a powerful technology to augment existing animal and clinical methodologies. Here we describe the translation process that led to the development and uptake of Virtual Assay, a user-friendly software to perform in silico drug trials in population of human cardiac models. Through this work, we contributed to the uptake of in silico modelling and simulations in industry and regulatory paradigms, and demonstrated accurate and mechanistic predictions of drug-induced cardiac pro-arrhythmic toxicity. |
| spellingShingle | Passini, E Zhou, X Trovato, C Britton, OJ Bueno-Orovio, A Rodriguez, B The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title | The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title_full | The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title_fullStr | The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title_full_unstemmed | The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title_short | The virtual assay software for human in silico drug trials to augment drug cardiac testing |
| title_sort | virtual assay software for human in silico drug trials to augment drug cardiac testing |
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