Biomedical Computing, Imaging and Informatics for Neurodegenerative Disorders

Date(s):

Location:
Booker Conference Room #2512, Jacobs School of Engineering, 9500 Gilman Dr, La Jolla, San Diego, California 92093

Sponsored By:
Truong Nguyen

Speaker(s):
Carl Taswell
Photo

Abstract:

Abstract: Schizophrenia, Alzheimer’s disease, Parkinson’s disease and other degenerative disorders and dementias impose an enormous economic and psychosocial burden on society, communities, and families. To gain a better understanding of gene-brain-behavior relationships, improve treatment and find cures for these diseases, translational research must be conducted with clinical trials of new drugs as well as other non-pharmacological interventions that are followed by genotyping and imaging biomarkers for patients with these neuropsychiatric degenerative disorders. This research, involving PharmacoGenomic Molecular Imaging (PGMI) of the brain, will be extremely costly in many ways. Therefore, knowledge engineering with effective software tools and applications built upon a semantic-enabled informatics infrastructure remains a necessary prerequisite to facilitate a reduction of those research costs by maximizing the benefit obtained from existing data and minimizing the cost of generating new data. A knowledge engineering framework that serves this goal must operate in a crossdisciplinary manner that integrates data from diverse biomedical fields while at the same time incorporating the relevant computational mathematics, statistics, and informatics analyses for productive data mining. This presentation will review the work done at the Brain Health Alliance Virtual Institute with our students in pursuit of this grand challenge from the perspective of 3 different areas of computing: 1) numeric computing with biomedical image processing and virtual reality, 2) symbolic computing with ontologies, the semantic web and distributed systems, and 3) hybrid numeric-symbolic computing with clinical telegaming applications


Speaker Bio:
Dr. Taswell is ABNM certified in nuclear medicine and ABPN certified in psychiatry, and serves on the faculty at UCSD with expertise in functional neuroimaging. He received his BA in biochemistry from Harvard College, his MSc in mathematics and MD in medicine both from New York University, and his PhD in scientific computing and computational mathematics from Stanford University. He has completed a post-doctoral fellowship in biostatistics at Harvard School of Public Health, as well as clinical training in psychiatry at UCSD and in nuclear medicine at UCSF. Since receiving a top ten scholarship award in the 1974 Westinghouse Science Talent Search, he has published numerous research papers spanning the fields of biochemistry, immunology, medicine, statistics, mathematics, informatics and brain imaging. Ever passionate about biomedical computing, he has designed and built software including LDACPA, ELIDA, WavBox, FirWav, GeneScene and NPDS. Dr. Taswell is also a member of the IEEE, SIAM, ACM, AMIA, ATA, SNMMI and AAGP.

Contact:
Travis Spackman
tspackman@ucsd.edu