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Digitizing Brain Data for Health and Disease

About the project

The main goal of the dBrain collaborative project is to develop an interdisciplinary approach to improve early diagnosis and prognosis for brain diseases and to facilitate the development of therapies by combining computational modeling of the brain and advanced artificial intelligence (AI) based data analyses.

The computational approaches will initially focus on Parkinson’s (PD) and Alzheimer’s diseases (AD), the two most common neurodegenerative diseases. These disease cases are strategically selected in collaboration with the Karolinska Hospital (KS) and Karolinska Institute (KI).

This research is important because the incidence of brain diseases will only increase with increasing human longevity. It is estimated that by 2030 mental disorders will be the largest contributor to the total disease burden.


Background

With increased longevity, the number of patients with brain-related diseases will grow. In 2030, mental illness is estimated to be the main imposition on health care. New advances in data analysis and computational modelling of the brain can use the potential of patient data to prevent and treat brain diseases.

Cross-disciplinary collaboration
The research team represents the School of Electrical Engineering and Computer Science (EECS), School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH) and the School of Engineering Sciences (SCI).

Watch the recorded presentation at Digitalize in Stockholm 2022 event:

 

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Contacts

Photo of Jeanette Hällgren Kotaleski

Jeanette Hällgren Kotaleski

Professor, Division of Computational Science and Technology at KTH, PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty

+46 8 790 69 03
jeanette@kth.se

Wojciech Chachólski

Professor, Mathematics at KTH, Co-PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty

+46 8 790 71 33
wojtek@math.kth.se

Erik Fransén

Professor, Division of Computational Science and Technology at KTH, Co-PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty

erikf@kth.se
Photo of Arvind Kumar

Arvind Kumar

Associate Professor, Division of Computational Science and Technology at KTH, Co-PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty

+46 8 790 62 24
arvkumar@kth.se

Örjan Smedby

Professor and Head of Division of Biomedical Engineering at KTH, Co-PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty

+46 8 790 96 20
orsme@kth.se