Lung

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News • Research on radiation interaction

Lung tissue model to increase cancer radiotherapy safety

Cancer patients receiving radiotherapy run the risk of injuring their lungs. This can lead to conditions like pneumonitis and fibrosis. A new cell-by-cell model can help make treatments safer.

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News • Lung development research

Immune cell insights for better treatments of respiratory diseases

Researchers have created a first-of-its-kind immune cell atlas of the developing lung, revealing coordination between the immune and respiratory systems much earlier than previously thought.

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News • Spirometry distribution

The ‘silent scandal’ of missing lung tests across England

A new survey by The BMJ reveals shortages of vital diagnostic tests for respiratory conditions, such as COPD and asthma, across some of the most deprived areas of England.

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News • Chest X-ray evaluation

Human readers still outperform AI in lung disease identification

Reports of AI gaining the upper hand in diagnostic imaging interpretation are piling up, but there are still areas where the eye of a trained human radiologist remains superior.

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News • Autonomous medical needle steering

A tiny robot to maneuver through living lung tissue

A team from UNC has developed a steerable lung robot that can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.

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News • Achromobacter research

Cystic fibrosis: new bacteria discovery could lead to better treatments

A new research breakthrough could lead to the development of new treatments for people with compromised immune systems, such as those with cystic fibrosis.

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Article • At-home diagnostics

Making remote patient monitoring simple

Increasing accessibility of remote and home monitoring for patients with pulmonary diseases can help improve treatment and rehabilitation adherence, and support health systems and hospitals in tackling waiting lists. The various advantages of remote monitoring systems will be highlighted in a Medica session focusing on “Preventing chronic diseases with diagnostics and analytics”.

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