Neurosalience | Prototron

Pitch

In the world due to population ageing it is predicted that the number of patients with dementia will rise to 75 million by 2030. Early detection of dementia allows to start treatment and lifestyle changes which can defer the onset of symptoms or even stop the disease. Currently existing methods for dementia screening lack sensitivity, are not fully automated, are expensive and slow.

At Neurosalience we develop a tool for early detection of dementia from MRI scans. The tool allows healthcare providers to decrease patient-related costs and improve the quality of life of those at risk of dementia. The tool is the first in the world capable of processing even low resolution MRI data from older scanners with potential extension to CT scans which are cheap and widely available.

www.neurosalience.com

More info

Ksenia Sokolova

Co-founder and CEO

Ksenia has two Master’s degrees in theoretical physics (University of Manchester) and medical imaging. She has also recently completed her PhD at King’s College London. Ksenia has experience with developing algorithms for medical analysis and her PhD was focused on developing new machine learning methods for understanding human brain ageing. Before joining the PhD programme Ksenia already had an interesting experience. She has developed the first in the world tool to predict the amount of spores released for the UK Met Office. She also has developed a fully automated method of the digital mammogram analysis used in breast cancer research.During her studies Ksenia was awarded 8 scholarships and awards including the international computer vision summer school essay competition prize. During the PhD Ksenia has presented her work on the SPIE Medical Imaging and CompAge 2020 conferences. Currently two journal articles are being prepared for publication. Neurosalience product is based on Ksenia’s research.

Michael Sokolovs

Co-founder and CTO

Michael has received a first class degree (University of Manchester) in software engineering with industrial experience, BSc(Hons). Michael has 6+ years of experience in developing top-quality performance-critical applications in a highly regulated environment. Currently he co-runs a real-time trade signal project in the Trading Flow Analysis team in a Tier 1 Investment bank.Michael has a clear technical vision and strategy of moving the product from the prototype to a scalable high quality tool that can be conveniently used by clients.