Use of artificial intelligence in the prediction of response in patients with COVID-19 pneumonia treated with low-dose anti-inflammatory radiotherapy

Identifier:  TFG:8155

Handle: https://hdl.handle.net/20.500.11797/TFG8155

Authors:  Osuna Ramírez, Judith

Abstract:
This project introduces a multi-omic predictive model to forecast the response to low-dose pulmonary radiotherapy in COVID-19 pneumonia patients. Data on clinical, metabolic, and radiomic features were collected from 50 patients with different treatment responses. Supervised machine learning models were used to identify the most effective classifier for predicting treatment outcomes.