The Bakar Computational Health Sciences Institute

The Bakar Computational Health Sciences Institute advances knowledge and applied expertise in computing and data science at the frontiers of health research, practice, and education.

Featured Projects

Developing New Algorithmic Approaches for Processing and Analysis of Multi-disciplinary/Modality Data 

Project Lead: Duygu Tosun-Turgut, PhD, UCSF ​

Dr. Tosun’s long-term research goal is to develop new algorithmic approaches for processing and analysis of multi-disciplinary/modality data including neuroimages, genetics, proteomics, as well as cognitive functioning measures in a unified framework by using recent advances in image processing, medical physics, and computation medicine. The primary aim is to identify multi-disciplinary/modality biomarkers for detecting the changes associated with disease specific neuropathology, improving understanding of pathophysiological progression and potentially providing a means of monitoring the efficacy and regional specificity of drug therapy for neurodegenerative diseases. This will have a broad use in early diagnosis, facilitating initiation of prevention strategies in those at risk, and boost the power of drug therapy trials by selecting those at greatest risk of neurodegenerative diseases. 


Decorative image of circles with data visualization in center circle