Professor of Biomaterials
Eleanor Stride is a Professor of Biomaterials specialising in the fabrication of nano and microscale devices for targeted drug delivery. She obtained her BEng and PhD in Mechanical Engineering from University College London.
Following the completion of her PhD in the UCL Ultrasonics Group, in 2005 she was appointed to a lectureship and a Royal Academy of Engineering and Engineering and Physical Sciences Research Council (EPSRC) Research Fellowship during which she started working in the complementary area of micro and nanoencapsulation, developing new methods for fabricating bubbles, capsules and other nano and microscale layered structures for a range of biomedical and other applications. In collaboration with Prof. Mohan Edirisinghe (UCL) and Prof. Bonfield (Cambridge University) she has set up a spin-out company in this area (AtoCap Ltd.) whose current focus is the targeted delivery of antibiotics for the treatment of chronic infections.
She was appointed to a University Lectureship and Non-Tutorial Fellowship at St Catherine’s College Oxford in 2011 and joined the Biomedical Ultrasonics, Biotherapy and Biopharmaceutical Laboratory (BUBBL) in the Institute of Biomedical Engineering, becoming a full Professor in 2014.
Under an EPSRC Challenging Engineering award and in collaboration with the Davy Faraday Laboratory at the Royal Institution her team has developed new types of ultrasound responsive particle that can be magnetically targeted to increase treatment localisation.
Successful delivery of both conventional drugs and biological therapeutics such as DNA and siRNA has been demonstrated.
In parallel, her team have also designed magnetic arrays to enable particle trapping at tissue depths up to several cm and under physiologically relevant flow conditions. They are currently collaborating closely with Profs. Callan and McHale at Ulster University to exploit this approach for the delivery of sonodynamic therapy (SDT). This builds on their recent work demonstrating the use of oxygen loaded microbubbles to improve the efficacy of SDT both alone and in combination with conventional chemotherapy.
Another key area of research for Eleanor’s team relates to the biophysical interactions that underpin drug delivery. In order to investigate these they have designed a series of microfluidic devices for investigating the response of cells to different types of physical stimuli and specifically the pathways by which drugs are internalised. In collaboration with colleagues at Imperial College and the Weatherall Institute of Molecular Medicine they have developed new techniques for characterising the surface properties of drug carrying particles and their interactions with cells.
Eleanor has published over 130 refereed journal papers, 4 book chapters and presented over 100 conference papers. She is an associate editor of Ultrasound in Medicine and Biology and a member of the Institute of Physics, Institution of Mechanical Engineers and the Acoustical Society of America.
She was also made a fellow of the ERA foundation for her contributions to public engagement and promotion of Engineering, for example through the Born to Engineer series and documentaries for the BBC.
Her work has been recognised through the award of a Philip Leverhulme prize, The EPSRC & Journal of the Royal Society Interface Award, the 2009 Engineering Medal at the Parliamentary Science, Engineering & Technology for Britain awards, the 2013 Bruce Lindsay Award from the Acoustical Society of America and the 2015 IET AF Harvey prize. In 2016 she was nominated as one of the top 50 most influential Women in Engineering. Elected as a Fellow of the Royal Academy of Engineering (RAEng) in 2017.
Experimental observations of the behaviour of a bubble inside a circular rigid tube
Wang S-P. et al, (2019), International journal of multiphase flow, 121, 103096 - 103096
Investigating the Role of Lipid Transfer in Microbubble-Mediated Drug Delivery
Aron M. et al, (2019), Langmuir
Direct Evidence of Multibubble Sonoluminescence Using Therapeutic Ultrasound and Microbubbles.
Beguin E. et al, (2019), Acs appl mater interfaces
Applications and limitations of machine learning in radiation oncology.
Jarrett D. et al, (2019), Br j radiol
Ultrasound-activated microbubbles as a novel intracellular drug delivery system for urinary tract infection.
Horsley H. et al, (2019), J control release, 301, 166 - 175