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Our Centre, in collaboration with the AI Network, hosted the Symposium on AI in Future Health & Care in September 2021. The goal of this policy symposium was to provide a forum for discussion on topics around the regulation for safe, effective and trusted use of AI.

Topics discussed included evidence based principles and standards, performance and evaluation pre-launch and in use, managing algorithm updates and evolution, whole system assessment and verification, bias and human factors, as well security and privacy risks.

More details can be found on our Resources page.


Doga Basaran, 2nd year PhD researcher, attended the MICCAI conference 2021 and its MSSEG-2 Challenge, the Educational Challenge of the conference, presenting a talk on ‘Cascaded Networks for new MS lesion detection’. The main goal of this challenge -which is led by the MICCAI Student Board- is to provide educational material for researchers in the field of medical image computing and computer-assisted interventions. Doga said it was exciting to see latest state-of-the-art methods and what different methods other teams developed.


Clinical PhD fellow Sumeet Hindocha, MD, participated in the Industry Xchange Retreat, which was combined with an Entrepreneurial Masterclass for the London Tech Week. This retreat was themed according to the government’s Industrial Strategy challenges and offered a unique opportunity for UKRI-funded researchers for enhanced professional development through interaction with industry.  As an AI for Healthcare fellow, Sumeet found that the workshops of the Forum HealthTech Summit were super useful as they could practice effective pitching of healthcare tech ideas. He said that he would recommend the retreat to other students.


Our student Reneira Seeamber won the MSK Accelerator Award 2021 for her PlayBack project!

PlayBack is an innovative technology geared towards answering an unmet clinical need: Improving self-management of lower back pain with a core activity detecting belt.

This award is worth £10,000 and offers industry-inspired product development support and management for the design and development of medical devices.


As part of our research training programme, the Centre launched an educational course on AI Innovation & Regulation in July 2021. This was a three day event that covered the following topics:

• How regulatory processes work for medical devices
• Clinical regulatory landscape & adoption for AI
• Overcoming obstacles innovators face
• Pioneering in the health AI space
• How to build AI with highest levels of safety
• Behavioural differences in adoption of innovation

The course was delivered in collaboration with experts from academia and the industry, including Imperial Business School, Digital Health London and Hardian Health.

The final day of the course featured a Dragons’ Den style exercise, where students worked in teams to prepare and deliver a product pitch for a ‘Dragons’ panel.


This is a fantastic example of how our CDT students move fluidly across the disciplinary AI and healthcare boundaries.

Aizaan Anwar – one of our clinically trained CDT students – was invited to the British Neuro-Oncology Society (BNOS) Annual Meeting 2021 to give a talk on her work entitled: “BrainApp: Using near-patient sensing through a mobile app and machine learning in brain tumour patients.”

Read the abstract here. Great work, Aizaan.


Will Bolton – one of our 1st-year doctoral researchers – visited AIME Conference 2021. A large part of the conference focused on the importance of explainability, which will be considered more rigorously in his research moving forward. He said he heard interesting talks on this which included using decision trees to explain a model’s predictions in a hierarchical manner. Interesting papers were also presented related to timeseries models, leading to the suggestion of using attention ahead of an RNN
for a potential performance jump


Giannis Afentakis – 1st Year CDT student – attended the ATTD Virtual Meeting 2021 (Advanced Technologies & Treatment for Diabetes) and thought it was a great opportunity to learn about the state-of-the-art research and innovation in the field of Diabetes Technology. Clinicians and Industry leaders talked about AI-enabled applications. This session provided lots of insight and updates on recent research on AI and Decision Support Systems in Diabetes Management which is the topic of his PhD.


Student Alina-Irina Serban had a paper accepted in the JMIR Aging journal: “Smart Home Sensing and Monitoring in Households With Dementia: User-Centered Design Approach”.

The study proposes AI-powered technologies to help make living environment safe and appropriate for people living with dementia, taking into account medical and psychological needs of the people.


Clinical PhD Fellow Kavitha Vimalesvaran, MD, had a paper accepted at the European Heart Journal:

Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance.”

Congratulations Kavitha!


Reneira Seeamber won a place on the MedTech SuperConnector accelerator programme for her novel idea of an AI-assisted wearable belt and interactive gaming interface to enable real-time correction of posture to ameliorate chronic back pain.

Her proposed concept centres on a patented, practical and low-cost muscle activity detection suite.

This is a fantastic example of how AI technologies hold enormous potential in health and care!


In response to the Covid-19 emergency, clinical PhD Fellow Sumeet Hindocha and his team initiated a new study on how to use AI to identify to what extent changes seen on chest scans are due to coronavirus or the side effects of cancer treatment.

They said that a lot of the work they are doing is using AI on CT scan images to identify subtle changes in patients, which might help understand why one group of patients behave in a certain way. Read the story here.


In Spring 2020, Clinical PhD Fellow Dr Sameer Zaman volunteered to treat and look after patients at Imperial College NHS Trust hospitals. He quickly realised that there was a need for mobile devices to help patient better contact with their families in times when they were isolated. Sameer then launched the #Virtual Visiting initiative to call for donations of tablets of phones to help patients who may be isolated, at a time when they may be feeling unwell.


Ruby Sedgwick had a paper accepted at the Machine Learning for Molecules Workshop at NeurIPS 2020: Design of Experiments for Verifying Biomolecular Networks“.

This work looks into the design biomolecular networks using a Bayesian optimisation strategy.