Personalized medicine: An earlier asthma diagnosis could bring relief
Researchers from Empa and the University Children’s Hospital Zurich have launched a four‑year joint project to develop a non‑invasive diagnostic protocol for asthma in children as young as two years old. The protocol combines buccal DNA swabs with breath analysis via high‑resolution mass spectrometry, and employs machine‑learning models to identify asthma‑specific molecules and genetic variants. Successful completion could enable earlier treatment, reduce hospital admissions, and prevent unnecessary medication in non‑asthmatic children.
Researchers from Empa and the University Children’s Hospital Zurich have launched a four‑year joint project to develop a non‑invasive diagnostic protocol for asthma in children as young as two years old. The protocol combines buccal DNA swabs with breath analysis via high‑resolution mass spectrometry, and employs machine‑learning models to identify asthma‑specific molecules and genetic variants. Successful completion could enable earlier treatment, reduce hospital admissions, and prevent unnecessary medication in non‑asthmatic children.
The project exemplifies Swiss AI’s role in precision medicine by applying machine‑learning techniques to multi‑omics data for early disease detection.
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