Digitizing Brain Data for Health and Disease
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 modelling 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), the School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH) and the School of Engineering Sciences (SCI).
Watch the recorded presentation at the Digitalize in Stockholm 2023 event:
Contacts
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 03jeanette@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 33wojtek@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
Arvind Kumar
Associate Professor, Division of Computational Science and Technology at KTH, Working group Rich and Healthy Life, Co-PI of research project Digitizing Brain Data for Health and Disease, Digital Futures Faculty
+46 8 790 62 24arvkumar@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 20orsme@kth.se