Background: Multiple first-line treatment options have been developed for advanced non-small cell lung cancer (NSCLC) in each subgroup determined by predictive biomarkers, specifically driver oncogene and programmed cell death ligand-1 (PD-L1) status. However, the methodology for optimal treatment selection in individual patients is not established. This study aimed to develop artificial intelligence (AI)-based personalized survival prediction model according to treatment selection.
View Article and Find Full Text PDFGood adherence to an inhaled medication protocol is necessary for the management of asthma and chronic obstructive pulmonary disease (COPD), and several interventions to improve adherence have been reported. However, the impact of patient life changes and psychological aspects on treatment motivation is obscure. Here, we investigated changes in inhaler adherence during the COVID-19 pandemic and how lifestyle and psychological changes affected it.
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