| dc.contributor.author | Mead, Benjamin Elliott | |
| dc.contributor.author | Karp, Jeffrey Michael | |
| dc.date.accessioned | 2019-08-28T14:35:30Z | |
| dc.date.available | 2019-08-28T14:35:30Z | |
| dc.date.issued | 2019-03 | |
| dc.identifier.issn | 1474-760X | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/122019 | |
| dc.description.abstract | Modeling is an essential part of the scientific method. A model enables us to learn about our surroundings by simplifying a complex observation to a set of principles—conceptual or operational—and, in the process, allows for the extension and testing of ‘observable truths’. In the life sciences, biological models have a particularly long history and still play an essential role. They include small animal models that are used widely in genetics and developmental biology, large animal models for therapeutic development, and cellular models that are used to study disease and to develop new medicines. | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (Grant HL095722) | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1186/s13059-019-1677-4 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | BioMed Central | en_US |
| dc.title | All models are wrong, but some organoids may be useful | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Mead, Benjamin E. and Jeffrey M. Karp. "All models are wrong, but some organoids may be useful." Genome Biology 20,1 (March 2019):66 | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Chemistry | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
| dc.relation.journal | Genome Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2019-03-31T03:14:23Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The Author(s). | |
| dspace.date.submission | 2019-04-04T11:40:12Z | |
| mit.journal.volume | 20 | en_US |
| mit.journal.issue | 1 | en_US |