AI model aims to predict lung disease progression
NCT ID NCT07404423
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This observational study will collect data from 1000 people with idiopathic pulmonary fibrosis (IPF) across multiple Italian centers. Researchers will use machine learning to build a model that predicts disease progression, acute flare-ups, and response to treatment. The goal is to improve risk assessment for patients with this progressive lung disease.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a tool that helps doctors better predict how IPF will progress in individual patients, enabling more personalized care.
What could go wrong
This is an observational study, not a treatment trial. The machine-learning model may not be accurate enough for real-world use, and results may not apply outside the study population.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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