Biomarker Discovery and Validation: Statistical Considerations 论文
2021Journal of Thoracic Oncology引用 225
Statistical Methods in Clinical TrialsAI in cancer detectionRadiomics and Machine Learning in Medical Imaging
摘要
Biomarkers have various applications including disease detection, diagnosis, prognosis, prediction of response to intervention, and disease monitoring. In this era of precision medicine, having validated biomarkers to inform clinical decision making is more important than ever. In this article, we discuss best the practices and potential issues in biomarker discovery and validation. We encourage team science partnerships to bring cutting-edge discovery from bench to bedside, leading to improved patient care and outcomes.