AI Modeling Project for Predicting Treatment Response in Non-Small Cell Lung Cancer
Principal Investigator
Name
Anna Gracia Colmenarejo
Degrees
B.Sc.
Institution
Universidad Internacional de La Rioja
Position Title
Student
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1542
Initial CDAS Request Approval
Apr 29, 2024
Title
AI Modeling Project for Predicting Treatment Response in Non-Small Cell Lung Cancer
Summary
This project represents the culmination of my Master's program in Artificial Intelligence at International University of La Rioja. It seeks to bridge the gap between cutting-edge technology and personalized medical care. The primary goal is to construct an advanced AI model capable of predicting treatment responses in lung cancer patients. By harnessing the power of machine learning, this model aims to contribute the field of oncology by providing clinicians with valuable insights into individual patient outcomes. Through meticulous data analysis and algorithm development, the project endeavors to pave the way for more effective and personalized treatment strategies in the fight against cancer.
Aims
Develop a robust deep learning model leveraging machine learning techniques to predict the response to treatment in patients diagnosed with non-small cell lung cancer (NSCLC).
Implement state-of-the-art algorithms for feature selection, dimensionality reduction, and predictive modeling to enhance the accuracy and generalizability of the AI model.
Evaluate the performance of the AI model using rigorous cross-validation techniques.
Investigate and collaborate in the advancement of personalized medicine by leveraging deep learning techniques to contribute to the field of oncology, particularly in the realm of non-small cell lung cancer (NSCLC) treatment response prediction.
Collaborators
Lucía Prieto Santamaría