Engineering in Society|Entrepreneurship|Public Policy and Administration|Technology Management

This module aims to equip you with a set of skills and experiences that give you a unique insight into how policy decisions often get negotiated. The module is...

Engineering for Society: Practicing Policy Entrepreneurship (STEP0002)

This module will provide the student with a world view of current research and the challenges facing Medical Bacteriology. This will include topics such as the...

Advanced Medical Bacteriology: Challenges and Opportunities (MEDC0108)

This module will provide the student with a world view of current research and the challenges facing Medical Bacteriology. This will include topics such as the global crisis of antibiotic resistance, the threat from new and emerging bacterial pathogens, the impact of resource poor settings on diagnosis and treatment, and the impact of personal microbiome data on human diseases.

The aim of the module is to provide understanding of current challenges, investigative approaches and potential solutions within the discipline. This will include definition of the current state of antibiotic resistance worldwide and consideration of new approaches to treating bacterial infections. It will also consider the advanced ‘omics’ technologies and their utility in experimental bacteriology. Additionally, it will compare and contrast public health issues and diagnosis and treatment of bacterial disease in resource-rich and -poor settings and consider the potential of human microbiome data in diagnosis and treatment of human disease.

You will select a research project in artificial intelligence in healthcare at the start of the academic year and work with a supervisory team (including a...

Dissertation in Artificial Intelligence Enabled Healthcare (CHME0033)

You will select a research project in artificial intelligence in healthcare at the start of the academic year and work with a supervisory team (including a clinician) to develop it and submit an outline proposal. Projects may involve the analysis of patient data, the implementation of novel software or the evaluation of an application. They should be at the level of an MSc project but wider in scope and will normally be capable of being developed into a PhD.

The module aims to provide you with a real extended experience of a substantial research project in artificial intelligence applied to healthcare and the opportunity to work independently, under the supervision of an academic team.

You will be able to choose from a wide variety of projects proposed by academics from different UCL departments including the IHI but also other clinical and engineering departments at UCL. Many projects will be conducted with our partners, including UCLH and Great Ormond Street Hospital taking advantage of the arrangements already in place to facilitate the appropriate ethical clearances required for to access patient data.

You will explore, in depth, an aspect of artificial intelligence applied to healthcare. They will gain practical experience of some of the following: the collection of healthcare data, the analysis of healthcare data, the implementation of artificial intelligence software, the theory of artificial intelligence, and the evaluation of the impact of artificial intelligence.

You will attend workshops on responsible research and innovation and be able to discuss the ethical and societal issues raised by the use of artificial intelligence in healthcare, including consent and priviacy issues around the use of patient data.