Exposure to toxins from the environment has been linked to a rise in non-communicable diseases and behavioral deficits in adults. WHO data further indicate that deaths attributable to environmental factors are highest in children. Metabolic stress during embryonic development is also correlated with increased risk of type 2 diabetes, coronary artery disease and cancer as well as some psychiatric illnesses.
MRC Doctoral Training Programme
Supervisors: Dr Colin Murdoch, School of Medicine/Systems Medicine and Dr Colin Henderson, School of Medicine/Systems Medicine.
Supervisors: Prof Emanuele Trucco, School of Science and Engineering, Dr Alex Doney, School of Medicine / Clinical and Molecular Medicine.
Aims and objectives. The project will use deep learning (DL) techniques to discover combinations of phenotypic and genotypic features working as predictive risk scores for high-incidence conditions (e.g. cardiovascular, diabetic complications).
Aims and objectives. The project aims to stratify diabetic patients by their response to drugs using artificial intelligence (DL) techniques, in line with the increasing interest for Big Data and AI of the School of Medicine.
Small areas of bleeding in the brain, known as cerebral microbleeds (CMB), are emerging as important features of an aging brain. Not only are they a marker for unhealthy blood vessels associated with development of dementia, but they also indicate an increased risk of major bleeding in the brain. This is particularly a concern in the common situation where doctors need to use medicines that stop clots from forming, and therefore increase risk of bleeding, to prevent heart attacks and ischaemic strokes. Although CMB are common they are not checked for routinely in conventional commonly us
The aim of this PhD proposal is to develop novel machine learning algorithms (e.g., deep learning) to predict the risk of dementia in Type 2 diabetes, and detect early signs of such disease with association of clinical and genomic data in clinical settings. There are strong links between Type 2 Diabetes (T2D) and dementia. With increasing numbers of people developing T2D, detecting early signs of dementia is important to better understand how it can be delayed or prevented.
Supervisors: (Lead): Dr Ian Morrison, Department of Neurology, Ninewells Hospital, Professor Emanuele Trucco, School of Science and Engineering, Professor Stephen McKenna, School of Science and Engineering.
An alarming rise in pathogens that show antibiotic resistance has been observed over recent years. In the case of Gram-negative bacterial pathogens, the resistance crisis has started to go out of control. Due to the lower permeability of the Gram-negative cell envelope for antibiotics, these pathogens are inherently more difficult to treat. The lower cell penetration of new drug candidates is also reflected in the failure of medicinal chemistry to advance novel classes of compounds with Gram-negative activity.
Degrading proteins in a timely manner to dispose of misfolded and damaged proteins is essential for a healthy cell. In ageing cells and organisms, there is a deterioration in the ability of cells to clear proteins resulting in the accumulation of misfolded proteins. Deposition of misfolded protein aggregates is a hallmark of many neurodegenerative diseases. It is not understood why quality control systems and the degradation capacity of a cell decline with age.
To maintain their genetic integrity, eukaryotic cells must segregate their chromosomes properly to opposite spindle poles during mitosis. This process has important medical relevance because chromosome mis-segregation plays causative roles in human diseases such as cancers and congenital diseases. To prepare for proper chromosome segregation, kinetochores – the spindle attachment sites on chromosomes – must correctly interact with spindle microtubules (MTs) during early mitosis.