# Predicting Response to PD-1 Checkpoint Blockade Using Deep Learning Analysis of Imaging and Clinical Data

> **NCT05711914** · — · COMPLETED · sponsor: **Centre Hospitalier Universitaire de Nīmes** · enrollment: 300 (actual)

## Conditions studied

- Non-small Cell Lung Cancer (NSCLC)

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05711914
- **Lead sponsor:** Centre Hospitalier Universitaire de Nīmes
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2021-01-31
- **Primary completion:** 2022-03-31
- **Final completion:** 2022-12-31
- **Target enrollment:** 300 (ACTUAL)
- **Last updated:** 2023-02-03

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05711914

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05711914, "Predicting Response to PD-1 Checkpoint Blockade Using Deep Learning Analysis of Imaging and Clinical Data". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT05711914. Licensed CC0.

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