PhD Studentship: Development of a Clinical HFNC Decision Support System: Using Machine Learning to Help Clinicians Predict the Outcome of HFNC Therapy
University of Warwick
An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded PhD project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation of treatment are a significant factor inhibiting the use of High Flow Nasal Cannula Therapy among some clinicians. Usin...
An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded PhD project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation of treatment are a significant factor inhibiting the use of High Flow Nasal Cannula Therapy among some clinicians. Usin...
Opportunity details
An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded PhD project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation of treatment are a significant factor inhibiting the use of High Flow Nasal Cannula Therapy among some clinicians. Using data from clinical collaborators around the world, this project will develop a user-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in their course of treatment [2,3]. This will increase confidence among clinicians that treating a patient with HFNC will lead to a positive outcome, and help them identify earlier patients who are failing on HFNC and need treatment escalation. Key References: [1] H. Yu, S. Saffaran, A. Ali, C. Henry, N. Mustfa, A. Thomas, A. Rajhan, S. Isrhad, L. Weaver, R. Tonelli, L.S. Menga, Q. Zhang, M. Einollahzadeh Samadi, A. Schuppert, J.G. Laffey, L. Camporota, A.M. Esquinas, D.L. Grieco, M. Antonelli, L. Martins de Lima, L. Kawano-Dourado, I.S. Maia, A. Biasi Cavalcanti, E. Clini, T.E. Scott, and D.G. Bates, "In-Hospital Testing of NIVPredict - An AI Tool for Early Prediction of Non-Invasive Ventilation Outcome in Acute Respiratory Failure", Critical Care, 2026. pdf [2] H. Yu, S. Saffaran, R. Tonelli, J.G. Laffey, A.M. Esquinas, L. Martins de Lima, L. Kawano-Dourado, I.S. Maia, A. Biasi Cavalcanti, E. Clini, and D.G. Bates, "Machine learning models compared with current clinical in...
Eligibility
This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in mathematical/computational modelling and simulation applied to real-world medical challenges. How to apply: Candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app. If this initial application is successful, we will invite you to submit a formal application. Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
Requirements
This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in mathematical/computational modelling and simulation applied to real-world medical challenges. How to apply: Candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app. If this initial application is successful, we will invite you to submit a formal application. Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
Funding and benefits
Funding eligibility: UK Students. Funding amount: £21,805.
Required documents
CV, References
How to apply
Candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app. If this initial application is successful, we will invite you to submit a formal application. Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
Open the official application information
Verify the deadline and final conditions on the official provider page before submitting an application.
Benefits
Funding eligibility: UK Students. Funding amount: £21,805.
Eligibility summary
This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in mathematical/computational modelling and simulation applied to real-world medical challenges. How to apply: Candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app. If this initial application is successful, we will invite you to submit a formal application. Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
Requirements
This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in mathematical/computational modelling and simulation applied to real-world medical challenges. How to apply: Candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https://www.warwick.ac.uk/engineeringscholarships/dgbss1/app. If this initial application is successful, we will invite you to submit a formal application. Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment. Should your application for admission be accepted, you should be aware that notification of acceptance for the PhD does not constitute an offer of financial support. Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
Documents required
CV, References
Language/test requirements
Listing-board disclaimer
Prime Scholarship Alerts is a listing board only and does not provide application procedures or guarantee scholarship awards. Verify all requirements, deadlines, fees, and application instructions through the provider before applying.