Real-world performance analysis of a universal computational reasoning model for precision oncology in lung cancer

Real-world performance analysis of a universal computational reasoning model for precision oncology in lung cancer

Abstract Tumors harbor multiple genetic alterations, yet treatment decisions are commonly based on single biomarkers, leading to underutilization of genomic information by comprehensive molecular tests, uncertainty in clinical practice, and frequent treatment failures. Although molecular tumor board...

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Main Authors: Anna Dirner, Dóra Kormos, Dóra Lakatos, Márton Bolyácz, Mária Kocsis-Steinbach, Gábor György Kalmár, Dóra Tihanyi, Ákos Takács, Ákos Boldizsár, Viktor Kardos, Réka Szalkai-Dénes, Barbara Vodicska, Edit Várkondi, Júlia Déri, Gábor Pajkos, Dóra Mathiász, István Vályi-Nagy, Richárd Schwáb, Maud Kamal, Christian Rolfo, Arkadiusz Z. Dudek, Christophe Le Tourneau, Róbert Dóczi, László Urbán, István Peták
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00943-4
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https://doi.org/10.1038/s41698-025-00943-4

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