Maxim Khomiakov: In the ideal world we would have a deep understanding of the biological processes occurring in our body at all times, interconnected as we are, the dedical professional would monitor your health and advise accordingly.
No, in fact, the medical professional is an artificial working around the clock to optimize your health automatically, tailored accordingly for what we expose our bodies to. Unlikely as it may seem, this is the direction we are moving towards. The goal of Project PACE is to improve the livelihood of elderly patients diagnosed with Dementia. What if we were able to qualify multiple sources of information with the help of artificial intelligence, thus enable faster reaction, better care, and overall an increase in quality of life for the chronically-ill?
In a joint collaboration with multiple stakeholders from Aalborg University, the staff and residents of nursery homes Skovhuset and Ryetbo, together with the support and funding from Innovations Fonden, we strive to achieve excellence in improving care and diagnostics for the incumbent and future elderly population. The demographic age distributions and shifting. According to a study by the European Union from 2014, the composition of citizens aged 65 and over is expected to increase from 17,4% to 25,6% in 2030, and by 2060 the elderly population is expected to account for 29,5% of the total population in the EU-27 countries. Meanwhile the workforce in the 15-64 age group is expected to fall by 40 million over the next 40 years, thus reducing the workforce from 67% to 56,5% of the total EU-27 citizen composition in 2060. We need to develop smarter and better methods of care for the growing elderly population, the PACE project is an attempt to research and propose parts of such solution.
PhD project title: Development and implementation of high-dimensional normal behavior areas for citizens with dementia, in proactive care at nursing homes
Effective start/end date 01/01/2018 → 31/12/2020
Main supervisor: Anders Stockmarr, co-supervisor: Andrea Burattin, co-supervisor: Bjarne K. Ersbøll from the section for Statistics and Data Analysis