Health Technology/clinical-trials

Real-World Data Study Launches: Machine Learning to Personalise Advanced NSCLC Treatment Selection — 144,000 Patient Analysis

247 Health News Editorial

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10 May 2026

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4 min read

·clinical-trials

University of Utah launches groundbreaking study using machine learning to analyse 144,400 advanced NSCLC patients' real-world data. The research aims to develop personalised treatment selection algorithms for existing immunotherapy and chemoimmunotherapy options.

Originally reported by ClinicalTrials.gov

References

  1. 1.University of Utah. (2024). Machine Learning Approaches to Personalized Therapy for Advanced Non-small Cell Lung Cancer With Real-World Data. ClinicalTrials.gov. NCT06934343. https://clinicaltrials.gov/study/NCT06934343
  2. 2.Hernán, M. A., & Robins, J. M. (2020). Using big data to emulate a target trial when a randomized trial is not available. American Journal of Epidemiology, 189(6), 435-442. https://doi.org/10.1093/aje/kwaa084
  3. 3.Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
  4. 4.Siegel, R. L., Miller, K. D., Wagle, N. S., & Jemal, A. (2023). Cancer statistics, 2023. CA: A Cancer Journal for Clinicians, 73(1), 33-64. https://doi.org/10.3322/caac.21763
  5. 5.Reck, M., Rodríguez-Abreu, D., Robinson, A. G., et al. (2016). Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. New England Journal of Medicine, 375(19), 1823-1833. https://doi.org/10.1056/NEJMoa1606774
  6. 6.Gandhi, L., Rodríguez-Abreu, D., Gadgeel, S., et al. (2018). Pembrolizumab plus chemotherapy in metastatic non-small-cell lung cancer. New England Journal of Medicine, 378(22), 2078-2092. https://doi.org/10.1056/NEJMoa1801005
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