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We have 139 diagnosis PhD Projects, Programmes & Scholarships for Self-funded Students
diagnosis PhD Projects, Programmes & Scholarships for Self-funded Students
We have 139 diagnosis PhD Projects, Programmes & Scholarships for Self-funded Students
Microneedle biosensors for rapid and painless disease diagnosis
This project aims to develop rapid disease diagnostics based on transdermal microneedle biosensors. Disease diagnosis often relies on invasive tissue sampling techniques, such as blood sampling or skin biopsies, in order to extract biomarkers for analysis. Read more
Development of A Next-Generation Multimodal Artificial Intelligence Platform for Early Breast Cancer Diagnosis
This Barts Charity funded project will commence in January 2025 and has funding for 4 years. The student will be based at the Barts Cancer Institute, Faculty of Medicine and Dentistry (FMD), Charterhouse Square in the City of London. Read more
Early and precise diagnosis in Alzheimer's disease spectrum disorders
Early diagnosis of Alzheimer's disease is essential to be able to make post-diagnostic recommendations for pharmacological and non- pharmacological interventions. Read more
Next-Generation Lateral Flow Assays for Cardiovascular Disease Diagnosis
The early diagnosis of cardiovascular diseases is crucial for improving patient outcomes and reducing healthcare costs. Current gold-standard diagnostics are costly and slow, relying on lab-based immunoassays that require sophisticated equipment and trained technicians. Read more
Advanced Data Fusion Learning-Driven Computer-Aided Diagnosis Model for Lung Cancer
Lung cancer is a leading cause of cancer-related deaths worldwide. Early detection of lung cancer can improve treatment outcome, but it is often challenging due to the complexity of disease. Read more
Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]
Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more
Fault Detection and Diagnosis of Industrial Machinery
Health monitoring and predictive maintenance (HMPM) are crucial for preventing unexpected equipment failures and reducing maintenance costs. Read more
Anomaly detection for pathology diagnosis by using EEG
Electroencephalograph (EEG) is an economical and convenient auxiliary diagnosis tool for many neurological diseases (e.g., stroke, epilepsy, depression etc.), In recent years, machine learning has shown great potential in clinical EEG anomaly detection. Read more
Early Alzheimer's Disease Diagnosis Using Deep Learning Retinal Image Analysis PhD
This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. Read more
Microneedle delivery systems for minimally-invasive patient diagnosis/monitoring
In this project, a novel type of integrated system will be investigated that will by-pass the skin barrier. On its surface will be multiple microscopic needles that pierce the skin without causing any pain – the sensation is said to feel like a cat’s tongue or sharkskin. Read more
Autonomous Small Scale Stirring Devices to Enable Rapid Medical Diagnosis
The reliance of modern healthcare on rapid medical diagnostic devices is very clear. for example lateral flow tests are a key part of the response to Covid-19. Read more
Towards robotic 2D-IR spectroscopy for biomolecular fingerprinting of cancer
Research Group:
Healthcare Engineering
Ultrafast 2D-IR spectroscopy is a new variant of Infrared spectroscopy which offers a unique analytical method for characterizing complex biomolecular samples. Read more
Early-Stage Cancer Detection with Lightweight and Robust Machine Learning [SELF-FUNDED STUDENTS ONLY]
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
Molecular reclassification of the spectrum of Alzheimer’s disease: Multi-omic, multi-modal models for diagnosis, risk stratification and prognosis prediction
Commercial partner: CFDX Ltd . Neurodegenerative diseases are the 7th leading cause of death globally, and the number one cause of mortality in the UK. Read more
Advancing Net-Zero Manufacturing: Digital Twin-based Fault Diagnosis and Prognosis in Nonlinear Mechatronic Systems
In the context of the Industrial 4.0 revolution, the shift towards smart manufacturing is not only redefining how we approach industrial processes but also emphasizing the urgent need for sustainable practices to achieve Net-Zero goals. Read more