CLARO
A collaborative multi-source radiopathomics project for personalized oncology in non-small cell lung cancer.
Clinical Application
CLARO
A collaborative multi-source radiopathomics project for personalized oncology in non-small cell lung cancer.
Overview
CLARO was born from a collaborative project between the Faculties of Medicine and Surgery and Engineering, with the aim of identifying imaging characteristics specific to lung cancer and using them as biomarkers to predict response to oncological therapies.
The project combines radiological and anatomo-pathological images with other clinical information to build personalized image-analysis models for stage III-IV non-small cell lung cancer. The goal is to convert heterogeneous medical data into a single and interpretable biomarker signature to support precision medicine.
Research Directions
- Imaging characteristics specific to lung cancer used as biomarkers for response prediction.
- Multimodal analysis of radiological and anatomo-pathological images with clinical information.
- Quantitative biomarker signatures for therapy selection in stage III-IV non-small cell lung cancer.
Related Publications
- A deep learning approach for overall survival prediction in lung cancer with missing values2024clinical prediction oncology
- Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer2023radiomics oncology medical imaging