New maths research to improve disease diagnosis and cybersecurity

Making computer networks more resilient to cyberattacks is a major project objec
Making computer networks more resilient to cyberattacks is a major project objective.
Making computer networks more resilient to cyberattacks is a major project objective. A new programme aims to extract useful information from huge, complex datasets. Bath mathematicians will be building models to identify big dataset anomalies. A new UK-wide research programme that aims to extract useful information from huge, complex datasets has been launched. As part of the programme, mathematicians from the University of Bath will be developing tools to identify dataset anomalies that point to serious problems that might otherwise go undetected. In the field of neuroscience, for instance, the new mathematical models being developed at Bath may flag up anomalies on a brain scan that suggest a heightened risk of Alzheimer's disease. Explaining, Bath mathematician Dr Matthew Nunes said: -People at risk of Alzheimer's display particular brain-function patterns, so we-ll be trying to characterise that brain function using statistical methods so a scan can give a better indication of a person's susceptibility to the disease.
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