Planet Briefing

First published · Last updated

MO21-5 Machine learning models for predicting osimertinib-related drug-induced interstitial lung disease in NSCLC

Journal article published by Elsevier BV describing machine learning models to predict osimertinib-related drug-induced interstitial lung disease in non-small cell lung cancer (NSCLC). The source provided was a journal article record with no additional methodological or result details in the supplied excerpt.

Hard metal lung disease is caused by occupational exposure to hard metal, a synthetic material that combines tungsten carbide with cobalt and a small amount of other metals. The underlying pathology in many individuals with hard metal lung disease is giant cell interstitial pneumonia (GIP) which is illustrated in this image The giant cells in the airspaces, as seen in this image, have been described as "cannabalistic" because they contain ingested cells that appear to be macrophages. The term "b
Illustrative image: Hard metal lung disease is caused by occupational exposure to hard metal, a synthetic material that combines tungsten carbide with cobalt and a small amount of other metals. The underlying pathology in many individuals with hard metal lung disease is giant cell interstitial pneumonia (GIP) which is illustrated in this image The giant cells in the airspaces, as seen in this image, have been described as "cannabalistic" because they contain ingested cells that appear to be macrophages. The term "b — Yale Rosen from USA/Wikimedia Commons, CC BY-SA 2.0

Categories: science-and-space, public-health

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
6/10
Geographic reach
1/10
Global importance
3/10
Impact magnitude
3/10
Positivity
6/10
Urgency
2/10

Why it matters

Predicting drug-induced interstitial lung disease could be relevant to the safety of osimertinib use in NSCLC patients.

Sources

Report an issue