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Your search for Keyword: 'Predictive Classification' returned 12 Result(s)
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Mrs Jyothsna Divyananda
Dr Javier Escudero
In my research, I create and apply data analysis tools to extract information from biomedical signals and clinical time series.
My main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.
In collaboration with researchers at Edinburgh, across the UK and overseas, I am currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, I aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. I am also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making. Finally, I also work in the development of non-invasive methods for rehabilitation purposes, being either the dexterous controls prostheses for amputees or brain-computer interfaces.
For additional information, please see: http://www.research.ed.ac.uk/portal/jescuder
Dr Paola Galdi
Machine learning, Big Data Analysis, Data Integration, Neonatal MRI, Cognitive Neuroscience, Predictive Modelling
Miss Maria Goni
Dr Jano van Hemert
Retinal imaging, image processing, automated image analysis, machine learning, medical devices, ophthalmology, eye health care, eye diseases, systemic diseases apparent in the eye.
Dr Robin Ince
Dr Blair Johnston
Research for patient benefit: MRI physics, MRI safety, image analysis and clinical application of AI
Mr Blair Johnston
Dr Rajeev Krishnadas
I completed my basic medical training from Govt Medical College, Thrissur, India, and MD in psychiatry from TN Medical college, Bombay University, India. Following this, I was sponsored by the British Council PGME scheme to train in psychiatry in the UK. I am a member of the Royal College of Psychiatrists, and completed my PhD from the University of Glasgow.
I currently work as a Consultant Psychiatrist with the NHS GGC in ESTEEM, the only early intervention in psychosis team in Scotland.
Academic area of interest include using functional MRI and functional connectivity to predict outcomes in complex mental health problems. Linking inflammation to brain connectivity.
Dr Kristin Nicodemus
Social cognition, neuroeconomics, computational psychiatry, schizophrenia, anxiety, bipolar disorder, depression, imaging genetics
