Institute for Precision Health

Research opportunities

Funding

The Institute for Precision Health offers numerous funding opportunities to enhance your research and industrial collaborations via the UKRI MRC Impact Acceleration Accounts (IAA) award. Funding calls will be announced via the Institute and drugdiscovery@le.ac.uk mailbox at several points during the year. There may be further opportunity for small awards in between formal calls, so please email drugdiscovery@le.ac.uk to talk through your ideas.

Additionally, the Institute can provide funding to facilitate networking opportunities for grant development. Please contact Lynne Howells (lh28@le.ac.uk) for further information.

IPH PGR Studentship: Expression of interest from investigators

The Institute for Precision Health is pleased to announce that they will dedicate one IPH CLS PhD studentship for a collaborative project with the Leicester, Leicestershire and Rutland Integrated Care Board (LLR ICB) – this will be a health data science-based project based around project discussions at the ICB health data science and research conference on Tuesday 12 March 2024.

We are now calling for an expression of interest from investigators. PI must be from CLS (co-applicants from any college) and ICB must be involved as a collaborator.

Our priority areas are, cancer, cardiovascular and respiratory disorders, diabetes, ethnic health, health inequalities, infectious diseases and multiple long-term conditions.

To apply please provide:

  • Name and department of PI, Cols and collaborators
  • List 3 key project highlights
  • Project overview (200 words)

Please send your applications to iph@le.ac.uk (cc lh28@le.ac.uk) by Friday 22 March 2024.

We would hope to advertise the projects after Easter and interview in June.

Postgraduate research

The Institute for Precision Health has an active postgraduate community. New studentships will be announced here, and we welcome enquiries about our PhD projects. 

Our students are undertaking world-leading research in the following areas:

Circulating RNA as a liquid biopsy for cancer detection and tissue-of-origin prediction

Inequalities in precision medicine in under-served groups

Proteomic investigation of markers of chronic inflammation in cardiovascular disease

Functional investigation of a potential novel drug target for progressive lung fibrosis

Developing a virtual asthma patient

Investigation of proteomic biomarkers of hypertension using microsampling-based mass spectrometry detection

  • Elliott Gyedu, supervised by Dr Pankaj Gupta and Dr Dennis Bernieh

Radiomic and multiomic investigation of molecular pathways in concentric left ventricular myocardial remodelling in Type 2 Diabetes (T2DM)

Mechanisms of intrinsic resistance to bispecific antibodies in diffuse large B cell lymphoma (DLBCL)

Understanding the effect of SGLT2i on muscle health in those with chronic disease

Further research

2021

Targeting Mutant FBXW7 to Disable MCL1 and Induce Therapeutic Apoptosis

  • Daniel Rowell Faulkner, supervised by Professor Dean Fennell

Novel therapeutic and diagnostic approaches for EML4-ALK driven lung cancer

2020

microRNAs and fibrosis progression in asymptomatic Aortic Stenosis: towards an integrated imaging and biomarker precision medicine approach to risk stratification

Identifying mechanisms of drug resistance in endometrial cancer

2019

Using patient electronic health records to understand the interplay between disease severity, symptoms, co-morbidity and long-term health outcomes

Prediction of outcome in community acquired pneumonia admissions using Artificial Intelligence and machine learning based algorithms

  • Daniel Lozano Rojas, supervised by Dr Rob Free

The relationship between repetitive DNA and clinical radioresponse in rectal cancer

Barriers to CD19 therapy in B cell malignancies

Developing a new bioinformatics platform for integration and analysis of high throughput ‘omics data to inform drug discovery and precision medicine approaches

  • Emma Croot, supervised by Dr Athanasios Didangelos

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