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Although presenting higher prevalence rates than the general population, it is often not reported or remains unnoticed. Moreover, somatic symptoms of depression are common in the oncological context and should not be dismissed as a general symptom of cancer. It becomes even more challenging to track psychological distress in the period after the treatment, where connection with the healthcare system typically becomes sporadic. The main goal of the FAITH project is to remotely identify and predict depressive symptoms in cancer survivors, based on a federated machine learning (ML) approach, towards optimization of privacy.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>FAITH will remotely analyse depression markers, predicting their negative trends. These markers will be treated in distinct categories, namely\u00a0nutrition, sleep, activity and voice, assessed in part through wearable technologies. The study will include 300 patients who have had a previous diagnosis of breast or lung cancer\u00a0and will be recruited 1 to 5\u00a0years after the end of primary cancer. The study will be organized as\u00a0a 12-month longitudinal prospective observational cohort study, with monthly assessments to evaluate depression symptoms and quality of life among cancer survivors.\u00a0The primary endpoint is the severity of depressive symptoms as measured by the Hamilton Depression Rating Scale (Ham-D) at months 3, 6, 9 and 12. Secondary outcomes include\u00a0self-reported anxiety and depression symptoms (HADS scale), and perceived quality of life (EORTC questionnaires), at baseline and monthly. Based on the predictive models gathered during the study, FAITH will also aim at further developing a conceptual federated learning framework,\u00a0enabling to build machine learning\u00a0models for the prediction and monitoring of depression\u00a0without direct access to user\u2019s\u00a0personal\u00a0data.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Discussion<\/jats:title>\n                <jats:p>Improvements in the objectivity of psychiatric assessment are necessary. Wearable technologies can provide potential indicators of depression and anxiety and be used for biofeedback. If the FAITH application is effective, it will provide healthcare systems with a novel and innovative method to screen depressive symptoms in oncological settings.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Trial registration<\/jats:title>\n                <jats:p>Trial ID: <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.isrctn.com\/ISRCTN10423782\">ISRCTN10423782<\/jats:ext-link>. Date registered: 21\/03\/2022.\n<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12888-022-04446-5","type":"journal-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T12:02:57Z","timestamp":1671624177000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A prospective observational study for a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment (FAITH): study protocol"],"prefix":"10.1186","volume":"22","author":[{"given":"Raquel","family":"Lemos","sequence":"first","affiliation":[]},{"given":"Sofia","family":"Areias-Marques","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Philip","family":"O\u2019Brien","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda Eugenia","family":"Beltr\u00e1n-Jaunsar\u00e1s","sequence":"additional","affiliation":[]},{"given":"Gabriela","family":"Ribeiro","sequence":"additional","affiliation":[]},{"given":"Miguel","family":"Mart\u00edn","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda","family":"del Monte-Mill\u00e1n","sequence":"additional","affiliation":[]},{"given":"Sara","family":"L\u00f3pez-Tarruella","sequence":"additional","affiliation":[]},{"given":"Tatiana","family":"Massarrah","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Lu\u00eds-Ferreira","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Frau","sequence":"additional","affiliation":[]},{"given":"Stefanos","family":"Venios","sequence":"additional","affiliation":[]},{"given":"Gary","family":"McManus","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5071-3007","authenticated-orcid":false,"given":"Albino J.","family":"Oliveira-Maia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"4446_CR1","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.ejca.2018.07.005","volume":"103","author":"J Ferlay","year":"2018","unstructured":"Ferlay J, Colombet M, Soerjomataram I, Dyba T, Randi G, Bettio M, et al. 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Written informed consent is required and will be obtained prior to participation in this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"MM: Research grants from Roche, PUMA and Novartis, consulting\/advisory fees from AstraZeneca, Amgen, Taiho Oncology, Roche\/Genentech, Novartis, PharmaMar, Eli Lilly, PUMA, Taiho Oncology, Daiichi Sankyo and Pfizer and speakers\u2019 honoraria from AstraZeneca, Lilly, Amgen, Roche\/Genentech, Novartis, and Pfizer.SL-T: Consultant\/Advisory Role: Celgene, Novartis, Pierre Fabre, Pfizer, Roche, Astra-Zeneca, Daiichi Sankyo, MSD, Seagen, Gilead and Lilly; Speaking: Novartis, Roche, Lilly.TM: Consulting or Advisory Boards: AstraZeneca, Novartis, Roche, GSK. Travel Grants: Novartis, Astra Zeneca.AJO-M was national coordinator for Portugal of a non-interventional study (EDMS-ERI-143085581, 4.0) to characterize a Treatment-Resistant Depression Cohort in Europe, sponsored by Janssen-Cilag, Ltd (2019\u20132020), is recipient of a grant from Schuhfried GmBH for norming and validation of cognitive tests, and is national coordinator for Portugal of trials of psilocybin therapy for treatment-resistant depression, sponsored by Compass Pathways, Ltd (EudraCT number 2017\u2013003288-36), and of esketamine for treatment-resistant depression, sponsored by Janssen-Cilag, Ltd (EudraCT NUMBER: 2019\u2013002992-33).The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"817"}}