Machine learning model improves treatment selection in non-small cell lung cancer
A significant challenge in developing treatment plans for patients with metastatic non-small cell lung cancer (NSCLC) is deciding whether to use immune checkpoint inhibitors alone or in combination with chemotherapy. Monotherapy is effective for many patients and is associated with fewer adverse effects. However, for patients who do not respond, the crucial time lost could lead to tumor progression. Unfortunately, there is a lack of reliable data to guide clinicians in this area. A team led by Jia...











