{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T17:54:11Z","timestamp":1786384451989,"version":"build-2736575974"},"reference-count":50,"publisher":"BMJ","issue":"10","license":[{"start":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:00:00Z","timestamp":1698192000000},"content-version":"unspecified","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019390","name":"Singapore Cancer Society","doi-asserted-by":"publisher","award":["SCS-GRA-2019-00063"],"award-info":[{"award-number":["SCS-GRA-2019-00063"]}],"id":[{"id":"10.13039\/100019390","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Singapore Ministry of Health\u2019s National Medical Research Council","award":["MOH-OFLCG18May-0028"],"award-info":[{"award-number":["MOH-OFLCG18May-0028"]}]},{"name":", National University of Singapore, Ministry of Education","award":["R-397-000-333-114"],"award-info":[{"award-number":["R-397-000-333-114"]}]},{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","award":["AISG-GC-2019-002"],"award-info":[{"award-number":["AISG-GC-2019-002"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"RIE2020 ADVANCED MANUFACTURING AND ENGINEERING (AME) PROGRAMMATIC FUND","award":["A20G8b0102 \/ A-0002199-02-00"],"award-info":[{"award-number":["A20G8b0102 \/ A-0002199-02-00"]}]},{"name":"Institute for Digital Medicine (WisDM) Translational Research Programme","award":["R-719-000-037-733"],"award-info":[{"award-number":["R-719-000-037-733"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2023,9,29]]},"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Conventional interventional modalities for preserving or improving cognitive function in patients with brain tumour undergoing radiotherapy usually involve pharmacological and\/or cognitive rehabilitation therapy administered at fixed doses or intensities, often resulting in suboptimal or no response, due to the dynamically evolving patient state over the course of disease. The personalisation of interventions may result in more effective results for this population. We have developed the CURATE.AI COR-Tx platform, which combines a previously validated, artificial intelligence-derived personalised dosing technology with digital cognitive training.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and analysis<\/jats:title>\n                    <jats:p>This is a prospective, single-centre, single-arm, mixed-methods feasibility clinical trial with the primary objective of testing the feasibility of the CURATE.AI COR-Tx platform intervention as both a digital intervention and digital diagnostic for cognitive function. Fifteen patient participants diagnosed with a brain tumour requiring radiotherapy will be recruited. Participants will undergo a remote, home-based 10-week personalised digital intervention using the CURATE.AI COR-Tx platform three times a week. Cognitive function will be assessed via a combined non-digital cognitive evaluation and a digital diagnostic session at five time points: preradiotherapy, preintervention and postintervention and 16-weeks and 32-weeks postintervention. Feasibility outcomes relating to acceptability, demand, implementation, practicality and limited efficacy testing as well as usability and user experience will be assessed at the end of the intervention through semistructured patient interviews and a study team focus group discussion at study completion. All outcomes will be analysed quantitatively and qualitatively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Ethics and dissemination<\/jats:title>\n                    <jats:p>This study has been approved by the National Healthcare Group (NHG) DSRB (DSRB2020\/00249). We will report our findings at scientific conferences and\/or in peer-reviewed journals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration number<\/jats:title>\n                    <jats:p>\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"clintrialgov\" xlink:href=\"NCT04848935\">NCT04848935<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2023-077219","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T23:21:01Z","timestamp":1698189661000},"page":"e077219","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: protocol for a prospective mixed-methods feasibility clinical trial"],"prefix":"10.1136","volume":"13","clinical-trial-number":[{"clinical-trial-number":"nct04848935","registry":"10.18810\/clinical-trials-gov"},{"clinical-trial-number":"nct04848935","registry":"10.18810\/clinical-trials-gov"}],"author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9002-7933","authenticated-orcid":false,"given":"Alexandria","family":"Remus","sequence":"first","affiliation":[{"name":"Heat Resilence and Performance Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore"},{"name":"The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore"},{"name":"The N.1 Institute for Health (N1), National University of Singapore, Singapore"},{"name":"Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, 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