Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek

Abstract: Highlights•Recurrence of tumor after treatment is critical in lung cancer.•Recurrence prediction in early lung cancer enables precision medicine through tailored interventions.•ML predicts lung cancer relapse using patient data.•However, models’ efficiency improves if patient data includes genomics.•We integrated genomic and clinical data to boost ML model accuracy for relapse prediction in early-stage non-small cell lung cancer.