Leveraging machine learning to predict de novo skin malignancy following lung transplantation

Key Points

• To explore the use of machine learning for predicting skin malignancy risk after lung transplantation.
• Developed a predictive model using machine learning techniques
• Analyzed data on lung transplant recipients
• Assessed risks for post-transplant malignancies
• Identified key risk factors for skin malignancy
• Enabled personalized assessments for transplant recipients
• Supported targeted surveillance strategies for early detection