Award summary
To deliver real and meaningful changes in patient safety for those with Multiple Long-Term Conditions (MLTCs). Read more.
100% of home tuition fees paid and an annual stipend of £19,237.
This studentship is open to Home students only.
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: 6th January 2025
Award duration: 3 years
Sponsor: NIHR, NuTH and Newcastle University
Supervisors:
Professor Nick Reynolds
Dr Philip Hampton
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.
How to apply:
You then need to provide the following information in the ‘Further Questions’ section:
Contact details: [email protected]
Subscribe and receive new vacancies according to your queries multiple sites.
Discover your next career move with DXB HIRES, the premier online job portal. Explore thousands of daily job listings, access detailed job information, and apply seamlessly – all for free, no registration or fees required.