A Non Interventional Pilot Study on Machine Learning for ILD Detection Based on the Patient Data From Digital Devices in Unresectable Stage III Non-Small Cell Lung Cancer Patients Receiving Durvalumab

NCT04884269 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 144

Last updated 2024-02-15

No results posted yet for this study

Summary

Objective in this study is to investigate feasibility of developing machine-learning based model for the identification of future development of diagnosed Grade 2 and higher ILD and of disease progression in patients with unresectable Stage III NSCLC receiving durvalumab

Conditions

  • Carcinoma, Non-Small-Cell Lung

Sponsors & Collaborators

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-08-11
Primary Completion
2023-03-03
Completion
2023-03-03

Countries

  • Japan

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04884269 on ClinicalTrials.gov