Prognostic biomarker discovery for breast cancers tumours using deep learning
First supervisor: Dr Heba Sailem
Dr Sailem's website: www.hebasailem.com
A co-funded PhD project from the King’s College London Multiscale Models for Life (MM4L) Centre for Doctoral Training and Roche.
Duration and details of award: 3.5 years including a stipend at the current UKRI rate, home rate tuition fees, research expenses and support for training and career enhancement.
Mode of study: Full-time
Start date: October 2024
Application deadline: 29 February 2024
Reference number: MM4L25
Project description
An exciting opportunity to develop cutting-edge AI tools to predict treatment response for individual patients in collaboration with Roche.
Histopathological imaging serves as the gold standard for cancer diagnosis as it allows to comprehensively understand tumours and their intricate microenvironments. In this project you will leverage advances in latest deep neural networks to develop robust algorithms for predicting patient outcomes. This include rigorous testing of developed models to ensure accuracy and reliability across diverse patient patients. You will explore various transformers-based architecture and weakly supervised techniques. A strong focus is on model explainability and generalisability toward translation. There is a potential to investigate the use of Large Language Models and multi-modal data integration.
Person specification
- Have a first degree in Machine Learning, Computer Vision, Biomedical Engineering, Computer Science, Bioinformatics, Computational Biology, or another related area.
- Good programming skills in Python.
- Good communication skills, both written and oral, including the ability to write for publication, present research proposals and results.
- Interest in interdisciplinary research.
Research training
You will join the Biomedical AI and Data Science group led by Dr Sailem. You will contribute to cutting-edge research in machine and deep learning using real world patient data with the potential improve cancer patient outcomes.
You will gain interdisciplinary skills in latest deep learning technologies, computer vision, and explore their use in biomedicine. You would also be able to develop research and programming skills
Next steps and contact for further information
Please contact Dr Heba Sailem at Heba.sailem@kcl.ac.uk
To view entry requirements, further general information and how to apply, see the main page for the Multiscale Models for Life (MM4L) Centre for Doctoral Training