Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66821, first published .
Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Journals

  1. Gnant M. The future of surgical research. British Journal of Surgery 2025;112(6) View
  2. Demuth S, Rousseau O, Faddeenkov I, Paris J, De Sèze J, Baciotti B, Payet M, Guillaudeux M, Barreteau A, Laplaud D, Edan G, Gourraud P. Privacy-by-Design Approach to Generate Two Virtual Clinical Trials for Multiple Sclerosis and Release Them as Open Datasets: Evaluation Study. Journal of Medical Internet Research 2025;27:e71297 View
  3. Pilgram L, El Kababji S, Liu D, El Emam K. Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data. Journal of the American Medical Informatics Association 2025;32(12):1843 View
  4. Potter S, Avery K, Ahmed R, de Boniface J, Chatterjee S, Dodwell D, Dubsky P, Federmann J, Finestone S, Gnant M, Hlauschek D, Iwata H, Jiang M, Kaidar-Person O, Lee H, MacKenzie M, Meyn A, Poortmans P, Poulakaki F, Richardson A, Sepulveda K, Spillane A, Thompson A, Werutsky G, Wittmann P, Wright J, Zdenkowski N, Cowan K, McIntosh S, Abbott N, Abdah-Bortnyak R, Abdelwahab K, Haris P, Aebi S, Agarwal G, Albacar C, Algara M, Aligizakis E, Garcia R, Amirov N, Amreen S, Ancao M, Aragón S, Arikan A, Aristei C, Asif F, Aznar M, Backianathan S, Bando H, Banys-Paluchowski M, Barrette V, Barry P, Becherini C, Berardi R, Bernstein-Molho R, Berpan A, Beurer B, Bhattacharya I, Bjelic-Radisic V, Boersma L, Bonci E, Bonetti A, Borg E, Branson T, Brown-Glaberman U, Bucci E, Bueno C, Bülbüloğlu G, Burnette B, Cain H, Campbell B, Cano-Jimenez A, Ömer-Cantürk A, Peterko A, Carmichael A, Castillo C, Chan N, Chen S, Chiu M, Choraria A, Claros J, Collins J, Conde-Herrero V, Constantinidou A, Coopey S, Copson E, Corradini S, Corsi F, Cortes P, Crawford K, Cretella E, Cruz J, Cutress R, Daiuto M, Daskalova I, Davies M, Caluwé A, Pinta C, Berron S, Delaney G, Deschuymer S, Micco R, Diaz-Gavela A, Dimitrov D, Dogan L, Dougoud-Chauvin V, Douvetzemis S, Dragoumis D, Duane F, Ebner F, Edge J, Eiriz I, Elder E, Elfgen C, Elsberger B, Eraso A, Erel S, Esakia T, Espinosa-Bravo M, Estevez-Diz M, Fabiano V, Fahmy W, Fancellu A, Fernandez I, Fernández-Morales L, Ferreiro J, Fiorica F, Fougo J, Franceschini G, Fuentes H, Garach N, Gasparri M, Generali D, Ghilli M, Gil-Gil M, Gomez H, Gössling G, Grobmyer S, Großmann C, Gunay S, Hadar T, Hajjaji N, Hariharan N, Harris G, Hegarty G, Heidinger M, Hijal T, Hsu C, Hubbard T, Huda F, Huscher A, Ikram R, Illarramendi J, Irwin G, Jagsi R, James M, Jerusalem G, Jerzak K, Johnson C, Johnson N, Jung K, Jung J, Chanthar V, Kadayaprath G, Polat A, Kang T, Kanyadhara L, Çakmak G, Karakatsanis A, Karamanliev M, Khan M, Kihn-Alarcón A, Kipps E, Kirwan C, Klein E, Ko H, Konsoulova A, Konstantis A, Kontos M, Kretsi A, Krug D, Kunkler I, Laws S, Leal S, Lee J, Liang R, Valenti E, Ludwig M, Lüftner D, Luzi M, Machiels M, Macinnes E, Macpherson I, Madeira P, Maduro J, Makris G, Mando P, Mansell J, Mantilla W, Maraldo M, Marcou Y, Margenthaler J, Marta G, Martel K, Marti C, Martin-Quesada A, Martos T, Masannat Y, Masiello V, Masuda N, Mau C, Maulik S, Meattini I, Meduri B, Meretoja T, Meterissian S, Minisini A, Misra S, Montero A, Morgan J, Migueláñez T, Munzone E, Murawa D, Namiq K, Sánchez M, Narui K, Nguyen T, Nikolic D, Nikopoulou A, O’Neill C, O’Reilly S, Oikonomou I, Bagge R, Ferrando A, Papadopoulos L, Pascual J, Pasquier D, Pellegrini A, Peretz-Yablonski T, Segura C, Piñero-Madrona A, Pogoda K, Popescu R, Poppe M, Porpiglia M, Portik D, Moura J, Provenzano E, Puchinskaya M, Putora P, Radhakrishnan V, Rahim I, Ramiah D, Rao S, Ratosa I, Razis E, Read R, Rebaza L, Redfern A, Reinert T, Retamales J, Riis M, Roberts N, Rocco N, Rojas B, Roshanlall C, Rosset L, Rovera F, Rubio I, Russell N, Ruyssers N, Ryu J, Sackey H, Saha S, Salinas J, Sánchez-Méndez J, Savva C, Scardina L, Serra M, Setakornnukul J, Shanthilal M, Sharawy I, Sharma S, Shenoy S, Shetty P, Shoshkova M, Sibbering M, Sidiropoulou Z, Silva A, Simcock R, Sirohi B, Smith F, Snook K, De Celis E, Spanheimer P, Stranzl H, Stuart K, Suga Y, Susini T, Swinden M, Tandon M, Tavoletta M, Taylor D, Liutti V, Tezcanli E, Thaweerat W, Thomson J, Thorat M, Tsiatas M, Tsoutsou P, Tvedskov T, Ueno T, Vaidya J, Valachis A, Berkmortel F, Hage J, Duijnhoven F, Van Maaren M, Vandermeulen A, Vázquez-Barreiro B, Velu U, Venkitaraman R, Vidal-Sicart S, Vohra L, Voutsadakis I, Wadasadawala T, Walker M, Wapnir I, Warnberg F, Wiebe E, Wong S, Wyld L, Kumar S, Yeh J, Yiallourou A, Youn H, Žatecký J, Cobos G, Zeko A, Zivkovic M, Zope A. A core outcome set for locoregional treatment reporting in neoadjuvant systemic breast cancer treatment trials. npj Breast Cancer 2025;11(1) View
  5. Xie L, Xiao S, Ming B, Xiang Z, Rui Z, Liu X, Zhan Y. A Sensor-Oriented Multimodal Medical Data Acquisition and Modeling Framework for Tumor Grading and Treatment Response Analysis. Sensors 2026;26(2):737 View
  6. Knapen D, van Kruchten M, de Groot D, Broekman K, Fehrmann R. Artificial intelligence for clinical trial design, conduct, and analysis: a narrative review. ESMO Real World Data and Digital Oncology 2026;11:100682 View