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Cancer / Oncology (ai) PhD Projects, Programs & Scholarships

We have 8 Cancer / Oncology (ai) PhD Projects, Programs & Scholarships

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  Artificial intelligence and machine learning for clinical prediction: Evaluating design, conduct, reporting and 'spin' #NDORMS-2020/3
  Prof G Collins, Dr M Schlussel, Dr P Dhiman, Dr J de Beyer
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Professor Gary Collins. 2. Dr Michael Schlussel. 3. Dr Paula Dhiman. 4. Dr Jennifer de Beyer. Artificial intelligence (AI) and machine learning (ML) are increasingly seen as solutions to many healthcare problems (e.g., for risk prediction, imaging), and the pace of development is showing no signs abating.
  Evaluating the impact of the steroid milieu on cancer cell metabolism in endocrine resistant breast cancer
  Dr M McIlroy, Dr T Chonghaile
Application Deadline: 2 December 2019

Funding Type

PhD Type

There is strong epidemiological and historical evidence which suggests that estrogens may not be the sole steroid drivers of breast cancer.
  EPSRC Centre for Doctoral Training in Medical Imaging at UCL

Funding Type

PhD Type

Applications for September 2019 entry are currently open, with fully funded studentships available. We are currently accepting and reviewing applications.
  An intelligent scheme to identify novel drug targets through analysing the DNA repairome in drug resistant cancer?
  Research Group: Biomedical Research Group
  Prof C Parris
Applications accepted all year round

Funding Type

PhD Type

Research Group. Biomedical Research Group. https://www.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/biomedical.
  Transcriptome Pattern Recognition in Pre-Cancer Cells
  Dr M T Teh, Dr L Lacasa
Applications accepted all year round

Funding Type

PhD Type

Background. All cellular processes are tightly regulated by a complex network of interacting biomolecules. Given that mRNA transcription precedes protein translation, change in gene expression levels often precedes visible pathological manifestation.
  (MRC DTP) Quantifying change in mammographic appearance using Artificial Intelligence
  Dr S Astley, Dr Yit Lim, Dr S Howell, Dr M Fergie
Application Deadline: 15 November 2019

Funding Type

PhD Type

Breast cancer is the most common cancer among women, with over 54,000 new cases diagnosed each year in the UK.
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
  Neutrophils and Chemokine Signalling in the Tumour Immune Micro-environment and Progression
  Dr T Iwata
Applications accepted all year round

Funding Type

PhD Type

Checkpoint inhibitor immunotherapy is promising, however still requires an improvement in response and development of markers to predict the patients who would benefit from this therapy.
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