connect with us
Multi-million EPSRC funding for KCL DRIVE-Health CDT
March 13, 2024
DRIVE-Health has been awarded £7.9 million from The Engineering & Physical Sciences Research Council (EPSRC) for student intake from 2024 onwards. DRIVE-Health is one of 65 CDTs which received funding, totalling more than £1 billion.
Using seed funding from King’s Centre for Doctoral Studies awarded in 2020, DRIVE-Health has trained 30 students to date. Building on this, the new award will support five additional cohorts at King’s, totalling at least 85 talented PhD students. The CDT is expecting to welcome its fourth intake of at least 15 students in October 2024.
DRIVE-Health is the first health data science training centre in the UK to harness cross-sector collaboration across the NHS, industry, enterprise, policy makers, and academia. Working with diverse partners, DRIVE-Health PhD students develop cutting-edge models which leverage healthcare data to improve patient outcomes, streamline operations, and enhance clinical decision-making processes.
EPSRC CDT DRIVE-Health’s vision is informed by three core goals:
- To provide world-class training in health data science research to the next generation of health data scientists, who will have the multidisciplinary skills needed to enable transformations in public health and breakthrough treatments.
- To solve the most challenging problems in data-driven health research through a diverse community of the brightest minds in health data science and an open, collaborative culture which fosters exchange and champions innovation.
- To co-create a translational cross-sector collaboration with the NHS, industry, enterprise, policy makers and academia.
Professor Richard Dobson, Co-Director of DRIVE-Health and Professor of Medical Informatics at King’s IoPPN, says
"As more data from biological, social, genomic, imaging, smart devices, and electronic health records becomes available, there are significant opportunities to revolutionise the way healthcare is delivered. Through DRIVE-Health, we will train some of the brightest minds in health data science to develop cutting-edge tools which utilise data to improve healthcare systems and patient outcomes."
"This is an exciting time for medicine, with new data paradigms creating a novel research and implementation landscape covering the full span from cell to society. Over the next nine years, DRIVE-Health will nurture world-class researchers that will chart that landscape and drive the UK’s health data agenda." Professor Vasa Curcin, Co-Director of DRIVE-Health and Professor of Health Informatics at King’s FoLSM.
The DRIVE-Health PhD Programme (2024-2032) focuses on five key scientific research themes:
- Sustainable health data systems engineering: Investigates methods to develop secure and scalable software systems for healthcare. Theme lead: Dr Zina Ibrahim.
- Multimodal patient data streams: Integrates diverse patient data types for analysis, including wearables and electronic health records. Theme lead: Dr Jorge Cardoso.
- Complex simulations and digital twins: Builds simulated environments to train AI models for healthcare applications. Theme lead: Dr Steffen Zschaler.
- Next-generation clinical user interfaces: Ensures healthcare data science applications are usable in clinical settings. Theme lead: Professor Nick Holliman.
- Co-designing impactful patient-centric healthcare solutions: Co-producing and co-designing healthcare solutions to maximise impact across all themes. Theme lead: Professor Claire Steves.
On top of the £7.9m provided by the EPSRC, DRIVE-Health has received over £5.1m from partners, as well as in-kind contributions worth nearly £4m.
Share
We’re thrilled to announce that John Jumper, PhD , will kick-off our 2024/2025 Seminar Series with his talk, "Extending AlphaFold to make predictions across the universe of biomolecular interactions" . John is one of the key pioneers behind the development of Google’s DeepMind AlphaFold - an artificial intelligence model to predict protein structures from their amino acid sequence with high accuracy. This in-person event promises to be an incredible opportunity to hear from one of the foremost innovators in AI and biology. Seminar Series Event: Extending AlphaFold to make predictions across the universe of biomolecular interactions Date and Time: 14:00 – 15.00, Thursday 10 October 2024 Location: The Council Room, 2nd floor, The King’s Building, Strand Campus Registration: Limited to EPSRC DRIVE-Health students in the first instance. Please email drive-health-cdt@kcl.ac.uk to check availability. Abstract: The high accuracy of AlphaFold 2 in predicting protein structures and protein-protein interactions raises the question of how to extend the success of AlphaFold to general biomolecular modeling, including protein-nucleic and protein-small molecule structure predictions as well as the effects of post-translational modification. In this talk, I will discuss our latest work on AlphaFold 3 to develop a single deep learning system that makes accurate predictions across these interaction types, as well as examine some of the remaining challenges in predicting the universe of biologically-relevant protein interactions.
We are thrilled to invite John Vardakis to speak at our EPSRC DRIVE-Health CDT's summer symposium next month. John joins us from Science Card to talk about " Exploring the Frontier: The future of GenAI Investments and Collaborations in Industry and Academia ." John Vardakis, PhD , has a diverse work experience, primarily in the field of scientific research. John is currently serving as the Head of Science Card Investment Group at Science Card, where they are involved in innovative banking. Previously, they worked as a Research Scientist at the University of Glasgow, where they focused on simulation-driven microelectromechanical systems design. John also worked as a Research Scientist at INSERM, investigating tumor mechanics and vascular fractality quantification. At the Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), they conducted research in cardiovascular and cerebrovascular biomechanics. Their work at UCL involved computational modeling of dementia and image-guided neurosurgery for epilepsy. John completed their DPhil in Biomedical Engineering at the University of Oxford, where their research focused on fluid transport in the brain. John also gained experience in the fields of vascular diagnosis and market research at the University of Heidelberg and P2i, respectively. Additionally, they worked as a Mechanical Engineer at Enactus and completed a placement at King's College London's Centre for Robotics Research. John Vardakis, PhD has a strong educational background in engineering and innovation. John obtained their Bachelor of Engineering (BEng) degree in Mechanical Engineering from King's College London in the years 2005 to 2008. John then pursued further education at the University of Oxford, where they completed the Centre for Doctoral Training in Healthcare Innovation from 2009 to 2010. Following this, they earned a Doctor of Philosophy (PhD) degree in Biomedical/Medical Engineering from the University of Oxford from 2010 to 2014. During their time at Oxford, they also pursued a diploma in Strategy & Innovation (Science Innovation Plus programme) from Saïd Business School, University of Oxford, from 2011 to 2012. In addition to their academic degrees, John Vardakis has obtained additional certifications. In December 2010, they received a Mathwork Training Certificate for completing the "Deploying MATLAB Based Applications - .NET Edition" course. John also obtained another Mathwork Training Certificate in December 2010 for completing the "MATLAB Programming Techniques" course. Registration is required, please email drivecdt@kcl.ac.uk for further event details. Our annual Symposium is a one-day face-to-face event for all DRIVE-Health students, academic supervisors, stakeholders and partners. Our aim is to discuss translating scientific and technological innovations in AI and data science, from research to clinical practice and commercial enterprise. The symposium will feature keynote talks, panel discussions, and poster presentations showcasing cutting-edge research and successful case studies. We will also celebrate our coming together with networking drinks at the end of the symposium. The EPSRC DRIVE-Health Centre for Doctoral Training is training the next generation of PhD health data scientists to become the innovation leaders of tomorrow. Our students work within an active NHS environment, and develop new models of data-driven care, whilst leveraging significant recent investment and infrastructure in Health Data Research within the UK. By registering for this event, you give consent to provide your name, e-mail address and registration information with King's College London for the purposes of managing the EPSRC DRIVE-Health CDT's Summer Symposium. Your personal data will be managed by those organisations and by Eventbrite according to their published privacy policies.