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We have 207 prediction PhD Projects, Programmes & Scholarships

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prediction PhD Projects, Programmes & Scholarships

We have 207 prediction PhD Projects, Programmes & Scholarships

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

NIHR Leeds BRC: Improving understanding of the use and interpretation of risk prediction tools

There are many risk prediction tools developed but only a fraction make it to routine clinical use. The reasons are multiple, for example some are geographically specific, many remain unvalidated, some lack clinical utility. . Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data

Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilization and expenditure. In the project, the candidate will help develop robust and explainable AI methods for MLTC risk prediction. Read more

IoT techniques for disaster prediction and mitigation

IoT techniques can be applied in many fields, including disaster prediction and mitigation by early warning systems. Due to the climate changes, torrential rain and unseasonable high temperature become more common and these could be a trigger of hazards, such as flooding and landslides. Read more

Repurposing and enriching cardiovascular risk prediction model to identify people at risk of cancer – UCL (part of Health Data Research UK’s Big Data for Complex Disease Driver Programme)

Risk-stratified management of cardiovascular disease (CVD), where people without established disease receive preventative interventions and monitoring based on their 10-years predicted risk, has been highly successful to ensure healthcare resources are allocated to those most likely to benefit. Read more

Development of a novel AI model for cardiovascular disease risk prediction by analysing retinal vascular structure and functional changes in blood flow

The Department of Eye and Vision Sciences at the University of Liverpool is inviting PhD candidates who are highly motivated in developing novel risk prediction model of cardiovascular disease (CVD) by analysing retinal images, contributing to a better understanding of relationship between the cardiovascular disease and the functional changes in blood flow. Read more

Quantitative prediction of drug metabolism mechanism

Faculty of Pharmacy, Charles University, Department of Pharmacology and Toxicology . The project aim is the high-accuracy prediction of drug metabolism mechanism with the help of atomistic simulations at quantum accuracy and machine learning. Read more

Drug metabolism - prediction, detection, and isolation

Electrosynthesis (ES) is a green methodology for preparing and interpreting drug metabolites linked to toxicology. ES describes the synthesis of chemical compounds in an electrochemical cell. Read more

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