<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>53(3)</volume><submitter>Kuhn D</submitter><funding>Varian Medical Systems, a Siemens Healthineers Company</funding><journal>Medical physics</journal><pagination>e70347</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12940459</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A prescription-free, radiobiology-based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy.</pubmed_title><pmcid>PMC12940459</pmcid><funding_grant_id>1353</funding_grant_id><pubmed_authors>Baltas D</pubmed_authors><pubmed_authors>Sachpazidis I</pubmed_authors><pubmed_authors>Kuhn D</pubmed_authors><pubmed_authors>Grosu AL</pubmed_authors><pubmed_authors>Spohn SKB</pubmed_authors><pubmed_authors>Zamboglou C</pubmed_authors></additional><is_claimable>false</is_claimable><name>A prescription-free, radiobiology-based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy.</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Mar</publication><modification>2026-07-16T22:02:19.187Z</modification><creation>2026-07-11T03:09:03.526Z</creation></dates><accession>S-EPMC12940459</accession><cross_references><pubmed>41746195</pubmed><doi>10.1002/mp.70347</doi></cross_references></HashMap>