Health Technology/clinical-trials

Global PETAL Study Launches: Machine Learning Genomics Platform to Transform T-Cell Lymphoma Outcomes Prediction

247 Health News Editorial

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10 Apr 2026

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4 min read

·clinical-trials

The global PETAL Consortium launches a groundbreaking study integrating machine learning with genomics to predict treatment outcomes in 1,200 patients with mature T-cell and NK-cell lymphomas. This observational study across four countries, including Australia, aims to identify genetic vulnerabilities that could transform personalised treatment approaches in these challenging malignancies.

Originally reported by ClinicalTrials.gov

References

  1. 1.PETAL Consortium. (2024). Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK/T-cell lymphomas: A global study of the PETAL consortium. ClinicalTrials.gov. NCT06067347. https://clinicaltrials.gov/study/NCT06067347
  2. 2.Swerdlow, S. H., Campo, E., Pileri, S. A., Harris, N. L., Stein, H., Siebert, R., Advani, R., Ghielmini, M., Salles, G. A., Zelenetz, A. D., & Jaffe, E. S. (2016). The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood, 127(20), 2375-2390. https://doi.org/10.1182/blood-2016-01-643569
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  4. 4.Gallamini, A., Stelitano, C., Calvi, R., Bellei, M., Mattei, D., Vitolo, U., Morabito, F., Martelli, M., Brusamolino, E., Iannitto, E., Zaja, F., Cortelazzo, S., Rigacci, L., Devizzi, L., Todeschini, G., Santini, G., Brugiatelli, M., & Federico, M. (2004). Peripheral T-cell lymphoma unspecified (PTCL-U): A new prognostic model from a retrospective multicentric clinical study. Blood, 103(7), 2474-2479. https://doi.org/10.1182/blood-2004-02-0566
  5. 5.Moskowitz, A. J., Lunning, M. A., & Horwitz, S. M. (2014). How I treat the peripheral T-cell lymphomas. Blood, 123(17), 2636-2644. https://doi.org/10.1182/blood-2013-12-516245
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