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Diagnostics and pathology


Expertise of research area
clinical imaging; data analytics; molecular diagnostics; personalised diagnoses

<h2 class="heading hide-accessible">Summary</h2>

Advances in molecular and digital pathology, imaging and genomics promise to have a huge impact on medicine, patients and our understanding of human disease. We deploy the full range of modern tools to answer important questions on causation, screening and treatment.

<h2 class="heading hide-accessible">Full description</h2>

<p>Our key achievements include improving&nbsp;outcomes in bowel cancer through understanding the mechanisms of disease recurrence, improving the quality of surgery, understanding the importance of preoperative treatment, imaging and the role of molecular diagnostics. The integration of&nbsp;data analytics, together with expertise on clinical imaging and close collaborations with computing, data visualisation and health engineering, enhances our potential to deliver personalised diagnoses.</p>

<h2 class="heading">How to apply</h2>

<p>To submit an application in this research area please complete an <a href="">online application form</a> and submit this alongside a research proposal, a full academic CV, degree transcripts (or marks so far if still studying) and degree certificates. If English is not your first language, you must provide evidence that you meet the Faculty&rsquo;s minimum <a href="">English language requirements</a>.</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p>

<h2 class="heading">Contact details</h2>

<p>For further information please contact the Graduate School Office<br /> e: <a href=""></a>, t: +44 (0)113 343 8221</p>

<h2 class="heading heading--sm">Linked project opportunities</h2>