Alessio Cortellini Highlights New Review on NSCLC Prediction Tools
Alessio Cortellini, Assistant Professor at Campus Bio-Medico University of Rome, shared a post on LinkedIn about a paper by H.R. Howard et al. published on ESMO Open:
“Congrats to the relentless Aruni Ghose and the whole team for this comprehensive review just published in ESMO – European Society for Medical Oncology Open!
The paper explores the evolution of prediction tools in NSCLC, covering:
- Established models such as LIPS-3 and LIPI that support decision-making in immunotherapy
- Novel AI approaches, including Deep-IO and radiomics-based tools, which are beginning to outperform classical biomarkers like PD-L1 and TMB.
Full text here.”
Title: The landscape of conventional and artificial intelligence-based clinical prediction models in non-small-cell lung cancer: from development to real-world validation
Authors: H.R. Howard, M. Hasanova, A. Tiwari, A. Ghose, R. Winayak, T. Nahar, V. Chauhan, S. Arun, K. Palmer, A. Houston, N.S. Kumar, S. Lalwani, A. Januszewski, J. Conibear, A. Jain, A. Cortellini, A. Passaro, A. Addeo, V. Noronha, G.L. Banna, S. Boussios
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