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Postgraduate research project

Transforming respiratory care at the bedside using machine learning assisted on-chip vibrational spectroscopy

Competition funded View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

Acute respiratory distress syndrome (ARDS), a widespread respiratory condition affecting all ages, causes respiratory failure due to inflamed, fluid-filled lungs hindering gas exchange. COVID-19 highlighted ARDS globally, leading to hospitalizations and deaths. 


No specific therapy exists, and surfactant loss worsens outcomes, with 30-50% mortality. Oxygen therapy is crucial but excessive administration can damage tissues. Our study proposes on-chip spectroscopy for rapid in-vivo surfactant analysis, aiding precise treatments and prevention across all ages.

This PhD project is focused on transforming respiratory care at the bedside to develop a user-friendly, palmtop spectrometer that brings rapid bedside biomarker diagnosis within easy reach for clinicians. Building on our success in mid-infrared spectroscopy and machine learning, our team is creating a practical point-of-care device.

Utilizing disposable enhanced spectroscopic chips, this project aims to analyse in-vivo surfactant metabolism swiftly. By doing so, clinicians can make informed decisions, stratify patients, and prescribe targeted therapies promptly.

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