Digital, informatics and medical technologies is a cross-discipline topic.
Research strengths include:
- medical robotics
- intelligent medical devices and bio-inspired technologies
- systems analysis
Medical robotics for diagnostics, treatment and therapy
York Medical Robotics uses quantitative engineering analysis to gain a better understanding of the human body and the technologies that we interface with it. With that understanding, they design better therapeutic strategies, devices, and diagnostics. Research in this area focuses on image-guided robotic devices for use in patient rehabilitation, surgery and diagnosis (Tse).
Intelligent medical devices and bio-inspired technologies
Intelligent medical devices covers a range of research areas at York. Development of point-of-care healthcare technology devices have been created that identify bacteria and their susceptibility in the context of antimicrobial resistance (Krauss, Johnson, Thomas, Duhme-Klair); infectious and non-infectious diseases (Patil); and sensors which warn whether untreated water supplies are infected with bacteria tackle ill health, particularly among young children.
Development of new diagnostic tools includes label-free analysis of blood serum using ultrafast 2D-IR spectroscopy (Hunt) and developing Raman spectroscopy for biomolecular fingerprinting for a range of health conditions including cancer (Hancock). This technique provides quicker, more cost effective testing and assessment of disease for early (before symptoms) and targeted intervention, reducing patient morbidity/mortality and anxiety.
Technology automating the assessment of Parkinson’s disease and other neurodegenerative conditions based on the measurement and analysis of movement disorders and visuo-spatial ability has been developed (Smith). This has the potential to transform clinical practice allowing patients to be monitored with greater accuracy, leading the way to saving money and improving the patient’s quality of life.
Medical Imaging at York includes research in single molecular microscopy techniques to investigate complex biological processes in order to drive the rational design of next-generation therapeutics (Quinn). Development of novel multi-model biomedical imaging systems in areas such as neuroimaging and oncology (Kennerley) and application of hyperpolarisation techniques for use in Nuclear magnetic resonance (NMR) and Magnetic resonance imaging (MRI) (Duckett).
Development of biophysical instrumentation is utilised to address open biological questions (Leake); that can be used in combination with molecular and biochemical approaches to investigate questions concerning single molecules under physiologically relevant environments.
York Cross-disciplinary Centre for Systems Analysis is a community of researchers developing novel mathematical, computational and analytical methods and tools for the analysis and modelling of complex systems.
Academic staff within YBRI use computational biology to research neurological disorders, mainly neural control of movement and neural signal processing (Halliday). Vision and image analysis for novel medical computing and rich media applications, such as video augmented environments (Smith); and virtual and augmented environments as part of gait rehabilitation in stroke patients (Pelah). Novel analytical and computational tools for the modelling of viruses (Twarock) are also developed.