As immunotherapy makes breakthrough progress in the treatment of small cell lung cancer (SCLC), predicting treatment outcomes has become a focal point in clinical practice. Immunotherapy combined with chemotherapy has been approved as first-line therapy for small cell lung cancer due to its survival benefit in randomized controlled trials. However, predicting its efficacy remains a challenge in the absence of currently available biomarkers.
Neural network models help predict immunotherapy efficacy in small cell lung cancer
