Publicação
ICPerMed Working Group Policy & Strategy and EP PerMed - Synergies and Cooperation
| datacite.subject.fos | Ciências Médicas | |
| dc.contributor.author | Vicente, Astrid Moura | |
| dc.date.accessioned | 2026-03-03T16:02:55Z | |
| dc.date.available | 2026-03-03T16:02:55Z | |
| dc.date.issued | 2025-11 | |
| dc.description.abstract | ICPerMed is a platform that supports strategic and funding coordination, sharing and collaboration to promote research and implementation of personalized medicine (PM) approaches. | eng |
| dc.description.sponsorship | ICPerMed is supported by the European Partnership for Personalised Medicine (EP PerMed). EP PerMed is a co-funded European Partnership that has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101137129. | |
| dc.identifier.uri | http://hdl.handle.net/10400.18/11047 | |
| dc.language.iso | eng | |
| dc.peerreviewed | n/a | |
| dc.relation | European Partnership for Personalised Medicine | |
| dc.rights.uri | N/A | |
| dc.subject | ICPerMed | |
| dc.subject | Personalized Medicine | |
| dc.subject | Europe | |
| dc.subject | Recommendations | |
| dc.subject | Hhealthcare Policies | |
| dc.title | ICPerMed Working Group Policy & Strategy and EP PerMed - Synergies and Cooperation | eng |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | 101137129 | |
| oaire.awardTitle | European Partnership for Personalised Medicine | |
| oaire.awardURI | http://hdl.handle.net/10400.18/11046 | |
| oaire.citation.conferenceDate | 2025-11 | |
| oaire.citation.conferencePlace | Prague, Czech Republic | |
| oaire.citation.title | IC PerMed International Consortium - EP PerMed General Assembly, 26, 27 November 2025 | |
| oaire.fundingStream | HORIZON Programme Cofund Actions | |
| oaire.version | http://purl.org/coar/version/c_b1a7d7d4d402bcce | |
| relation.isProjectOfPublication | 52af79c1-66a4-4957-964d-9e604d1a7b21 | |
| relation.isProjectOfPublication.latestForDiscovery | 52af79c1-66a4-4957-964d-9e604d1a7b21 |
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