The impact of brain tumours and dementia on those who suffer, their families, and wider society is immense. What if we could use technology to capture the disease sooner? Could the process for diagnosing patients be quicker, less invasive, and more cost efficient?
The most successful PhD students from the Marie Curie Fellowship will explore the challenges and possible solutions of early diagnostics, revealing how electronics, chemistry and medicine converge to develop cutting-edge technology.Professor Genhua Pan - early dementia diagnosis with blood biomarkers
In 2017, 50 million people were living with dementia – yet the diagnosis is poor and no drugs are available. Often the process involves expensive and invasive diagnostics and costs an estimated worldwide $1 trillion for 2018.
Pan's team are developing biosensors and biomarker discovery with the aim to create point-of-care devices, similar to the glucose testing used for diabetes, that will aid with early diagnosis of dementia and therefore ideally lead to better care.
Dr Xinzhong Li – diagnostic techniques for early brain tumour detection
Only 5.5% of people diagnosed with a brain tumour survive past five years. This is often because the tumours are detected from imaging scans, where a tumour has already grown to a significant size that increases the threat to life.
Li and his team's research brings together big data, diagnosis software, and artificial intelligence with biology and biomolecular science, intending to develop new methods and equipment for earlier detection of brain tumours.