Some brain cancers cannot be surgically removed, and many potent therapeutics cannot reach the tumour site. This project aims to overcome these hurdles by utilizing a recently developed multifunctional nanoparticle drug delivery system that can be injected directly into tumours. Read more
Globally, nearly 189,000 people die each year as a result of brain cancer and around 250,000 people are diagnosed with a malignant brain tumour (umbrella name. Read more
Over the past four decades, significant advancements have been made in the treatment of childhood cancer, leading to a substantial increase in cure and survival rates. Read more
To apply, please contact Dr Graham Sheridan at Graham.Sheridan@nottingham.ac.uk. Cancer is one of the leading causes of death worldwide, resulting in approximately 18 million new cases and 10 million deaths each year. Read more
The Epidermal Growth Factor Receptor (EGFR) is important in normal physiology regulating epithelial development and homeostasis. In cancer, deregulation resulting from mutation, amplification or transcriptional upregulation promotes tumorigenesis. Read more
Overview. Dr Raza Ali wishes to recruit a student to work on the project entitled. "Multi-modal spatial data integration to predict breast cancer treatment response". Read more
Gliomas such as are the most common form of brain tumour, a subset Glioblastoma (GBM) are devastating adult brain cancer with high rates of recurrence and treatment resistance. Read more
Medulloblastoma is the most common paediatric malignant brain tumour, accounting for 20% of childhood brain tumours cases per annum in the United Kingdom alone, with approximately one-third of patients dying from the disease worldwide. Read more
Brain tumours are highly invasive and carry a poor prognosis. Secondary brain tumours or brain metastases (BM) are the most common tumours found in the brain affecting up to one third of patients with solid organ cancer. Read more
This PhD project addresses the challenge of early-stage cancer detection. Artificial intelligence (AI) and machine learning (ML) are transforming medical diagnosis, such as cancer detection. Read more
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