This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (533) Innovations and Technology in Cancer Care (418) Artificial Intelligence (1337)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45872, first published .
Creating an Innovative Artificial Intelligence–Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial

Creating an Innovative Artificial Intelligence–Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial

Creating an Innovative Artificial Intelligence–Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial

Authors of this article:

Joanna Bujak1, 2 Author Orcid Image ;   Stanisław Kłęk3 Author Orcid Image ;   Martyna Balawejder1 Author Orcid Image ;   Aleksandra Kociniak1 Author Orcid Image ;   Kinga Wilkus1 Author Orcid Image ;   Rafał Szatanek1 Author Orcid Image ;   Zofia Orzeszko4 Author Orcid Image ;   Joanna Welanyk3 Author Orcid Image ;   Grzegorz Torbicz5 Author Orcid Image ;   Mateusz Jęckowski6 Author Orcid Image ;   Tomasz Kucharczyk7 Author Orcid Image ;   Łukasz Wohadlo8 Author Orcid Image ;   Maciej Borys5 Author Orcid Image ;   Honorata Stadnik9 Author Orcid Image ;   Michał Wysocki5 Author Orcid Image ;   Magdalena Kayser10 Author Orcid Image ;   Marta Ewa Słomka6 Author Orcid Image ;   Anna Kosmowska10 Author Orcid Image ;   Karolina Horbacka10 Author Orcid Image ;   Tomasz Gach11 Author Orcid Image ;   Beata Markowska11 Author Orcid Image ;   Tomasz Kowalczyk8 Author Orcid Image ;   Jacek Karoń10 Author Orcid Image ;   Marek Karczewski9 Author Orcid Image ;   Mirosław Szura11 Author Orcid Image ;   Anna Sanecka-Duin1 Author Orcid Image ;   Agnieszka Blum1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Karsten H, Matrisch L, Cichutek S, Fiedler W, Alsdorf W, Block A. Broadening the horizon: potential applications of CAR-T cells beyond current indications. Frontiers in Immunology 2023;14 View
  2. Li Y, Hu Z, Li Y, Wu X. Charting new paradigms for CAR-T cell therapy beyond current Achilles heels. Frontiers in Immunology 2024;15 View
  3. Zhou K, Xiao Z, Liu Q, Wang X, Huo J, Wu X, Zhao X, Feng X, Fu B, Xu P, Deng Y, Xiao W, Sun T, Da L. Comprehensive application of AI algorithms with TCR NGS data for glioma diagnosis. Scientific Reports 2024;14(1) View
  4. Murcia Pienkowski V, Skoczylas P, Zaremba A, Kłęk S, Balawejder M, Biernat P, Czarnocka W, Gniewek O, Grochowalski Ł, Kamuda M, Król-Józaga B, Marczyńska-Grzelak J, Mazzocco G, Szatanek R, Widawski J, Welanyk J, Orzeszko Z, Szura M, Torbicz G, Borys M, Wohadlo Ł, Wysocki M, Karczewski M, Markowska B, Kucharczyk T, Piatek M, Jasiński M, Warchoł M, Kaczmarczyk J, Blum A, Sanecka-Duin A. Harnessing the power of AI in precision medicine: NGS-based therapeutic insights for colorectal cancer cohort. Frontiers in Oncology 2024;14 View
  5. Shi R, Ran L, Tian Y, Guo W, Zhao L, Jin S, Cheng J, Zhang Z, Ma Y. Prospects and challenges of neoantigen applications in oncology. International Immunopharmacology 2024;143:113329 View
  6. Asadi Sarabi P, Shabanpouremam M, Eghtedari A, Barat M, Moshiri B, Zarrabi A, Vosough M. AI-Based solutions for current challenges in regenerative medicine. European Journal of Pharmacology 2024:177067 View