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May 7, 2025
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Arian farokh patch 3 1 #147

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Merge pull request #146 from intsav/main
arian-farokh May 7, 2025
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arian-farokh May 7, 2025
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arian-farokh May 7, 2025
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<!DOCTYPE html>
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<title>Alport Syndrome</title>
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<h1>Investigation of Ocular Implications in Alport Syndrome (kidney disorder) through Deep Learning</h1>
<h2><i>University of West London – School of Computing and Engineering<i></h2>
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</section>

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<h1><b>Supervisory Team</b></h1>
<h6> <a href="https://www.uwl.ac.uk/staff/nasim-dadashi-serej" target="_blank" rel="noopener noreferrer"> Dr Nasim Dadashi </a></h6> </div>
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<h1>Project Description:</h1>
<p>In this collaborative project focusing on Alport syndrome (AS), we focus on the interplay between this rare genetic disorder, kidney function, and the eyes. AS poses significant risks to vision, necessitating a comprehensive understanding of its impact on the retina [1]. By designing state-of-the-art automatic techniques applied to in vivo 3D retinal imaging within one of the largest AS cohorts to date, our goal is to unveil the complete spectrum of retinal alterations associated with this condition, aided by AI models. This insight holds significant promise for early detection, disease monitoring, and treatment strategies, ultimately enhancing patient care and outcomes.</p>

<p>As a member of our team, you will play an important role in this clinically significant collaboration, contributing to advancements in medical data analysis, machine learning methodologies, and image processing techniques.</p>

<p>Retinal optical coherence tomography (OCT) imaging provides a non-invasive and high-resolution method for visualizing the various layers of the retina. This imaging modality enables clinicians and researchers to examine the structural integrity of the retina in detail, facilitating the early detection and monitoring of various ocular diseases.</p>

<p>The retina consists of several distinct layers, each serving specialized functions in the visual process. Segmentation of retinal layers in OCT images is essential for quantifying structural changes and analysing disease progression accurately. However, despite advancements in automated segmentation algorithms, challenges remain, particularly in cases with pathologies or abnormalities.</p>

<p>We will utilize previously developed retinal layer segmentation techniques in OCT imaging (e.g. NDD-SEG) to delineate the various retinal layers. However, recognising the potential limitations of existing segmentation models, our initial focus will be on designing an interactive tool to facilitate the correction of any inaccuracies in retinal layer segmentation. This tool will enable clinicians and the researcher to manually adjust segmentations as needed, ensuring the accuracy of subsequent analyses.</p>

<p>Subsequently, we will design deep learning methodologies to develop models that discover the relationships between retinal structural changes, genetic predispositions, and systemic manifestations of Alport syndrome (AS). By integrating multi-modal data and incorporating insights from both ocular and renal perspectives, we aim to advance our understanding of AS pathogenesis and improve clinical management strategies for affected individuals.</p>

<h1>Ideal candidates should possess the following:</h1>
<ul>
<li>A strong background in machine learning and computer vision, with experience in frameworks such as PyTorch or TensorFlow.</li>
<li>Familiarity with medical imaging analysis.</li>
<li>Interest in digital health innovation and personalized medicine, with an emphasis on real-world clinical impact.</li>
</ul>

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<br>
<h1>Funding:</h1>
<p>A fully funded PhD studentship (all tuition fees paid) is available for UK and International students to apply. Successful PhD scholars will be expected to contribute to departmental teaching or research activities for a maximum of six hours per week.</p>
<h1>How to Apply:</h1>
<p>Informal enquiries about the studentship should be addressed to the specific Director of Studies stated above.</p>
<p>Applicants should apply online via the following links:<br>
<a href="https://www.jobs.ac.uk/job/DMA511/the-vice-chancellors-phd-scholarships" target="_blank">Jobs.ac.uk Application Page</a><br>
<a href="https://www.uwl.ac.uk/course/research/biomedical-science?start=1314&option=33" target="_blank">UWL PhD Biomedical Science</a>
</p>
<p>When completing your online application, please state the project title in your statement. Applications will only be accepted via the online application form.</p>
<p><strong>Applications must include the following:</strong></p>
<ul>
<li>Full CV, with a list of any significant course projects and/or industrial experience</li>
<li>A 2-page research proposal relating to the above PhD topic description</li>
<li>Academic transcripts/grades</li>
<li>A copy of publications of the applicant (if any)</li>
</ul>

<h1>Requirements:</h1>
<ul>
<li>You must have an MPharm or MSc degree (or equivalent experience and/or qualifications) in an area pertinent to the subject area, i.e. Pharmaceutical Science, Pharmacy or Chemistry, Bioengineering and AI machine learning.</li>
<li>You must have a high standard undergraduate degree at UK 1st class or 2:1 level (or international equivalent)</li>
<li>You must be fluent in spoken and written English</li>
<li>Where English is not the applicant’s first language, a minimum IELTS Academic English score of 7.0 overall with a minimum of 6.5 in all components is required.</li>
<li>You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines</li>
<li>Strong academic track record and practical skills are desired</li>
<li>Any published scientific papers would be a plus</li>
</ul>

<br>
<h3>For more information about the project, please contact <a href="mailto:Hanieh.khalili@uwl.ac.uk">Dr Hanieh Khalili</a></h3>
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