Qualification Type: | PhD |
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Location: | Newcastle upon Tyne |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £19,237 - please see advert |
Hours: | Full Time |
Placed On: | 22nd July 2024 |
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Closes: | 4th August 2024 |
Reference: | PH052 |
Award summary
To deliver real and meaningful changes in patient safety for those with Multiple Long-Term Conditions (MLTCs).
www.newcastle-hospitals.nhs.uk/news/5-3million-investment-for-patient-safety-research
100% of home tuition fees paid and an annual stipend of £19,237. Successful international applicants will be required to fund the difference between home and international fees.
Overview
This studentship will be based in The Newcastle NIHR Patient Safety Research Collaborative (PSRC), this research theme embraces the exceptional capacity of artificial intelligence (AI) to spot patterns in vast collections of electronic health records (http://ai-multiply.co.uk/). Our primary objective is discerning risk patterns at both population and individual patient levels, providing a new lens to view and understand patient health. Key areas of focus will include understanding the trajectories and care pathways of MLTCs in Medical Dermatology.
Four of the most common Medical Dermatology diseases are eczema, psoriasis, hidradenitis suppurativa and acne. We have developed standard ways to treat these conditions but not all patients respond, and some patients develop side effects. If we could identify which patients respond well to certain therapies, and which patients develop side effects with therapies, we could improve the quality of care by providing optimal treatment choices with the lowest risk of side effects (SE). Better knowledge of treatment responses and SE may also allow us to reduce unnecessary clinic visits and tests, thereby improving the efficiency of the NHS.
We will investigate whether we can predict which patients are more likely to respond to therapy or develop SE using AI. A range of AI models will be tested. Additionally, we recognise the importance of “explainable AI”, which helps us understand the “inner workings” of such models. We will therefore determine which patient factors contribute to making these predictions.
This studentship will provide unparalleled opportunities for post-graduate training and interdisciplinary working.
Number of awards: 1
Start date: September 2024
Award duration: 3 years
National Institute for Health and Care Research (NIHR)
NuTH and Newcastle University
Supervisors
Eligibility criteria
A 2:1 honours degree, or international equivalent, in a relevant subject (e.g. computer science, health sciences, epidemiology, statistics, psychology, maths, medicine, pharmacy, nursing, midwifery, allied health). A Masters with strong research training element would be highly advantageous.
If your first language is not English you need an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language qualification.
International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme.
How to apply
Contact details: PSRC@ncl.ac.uk
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