AUG 22, 2013 1:00 PM PDT

Embracing the Complexity of Cancer: Seeing the Forest and the Trees

Speaker
  • Director of Computational Sciences and Informatics program for Complex Adaptive Systems and Professor in the School of Life Sciences, Arizona State University
    BIOGRAPHY

Abstract
Personalized medicine is transforming biomedical research and healthcare service delivery. Disease definition, diagnosis, treatment, and prevention are being fundamentally altered by the capacity to routinely perform comprehensive molecular characterization. Nowhere is this change happening faster than in the field of cancer. Increasingly sophisticated technology provides the capacity to describe, in multiple molecular dimensions, the tumor and the individual in which it has developed. These technologies identify the millions of variants present in normal individuals and thousands of alterations that occur during the course of the disease process. This systems-wide molecular analysis of constitutional and somatic tissues has identified a complex cacophony of inherited and acquired variation. Coherence emerges from these data when evaluated using biologic networks as analytic frameworks. These networks account for the individual heterogeneity in underlying etiology as well as the diversity of events necessary to generate a complex phenotype such as cancer. Emerging collections of analytic approaches permit analysis using genome-wide data sets and established biologic networks as models. The generation of this unprecedented amount of data presents us with the challenge contextualizing that data and converting into actionable information. The integration and interpretation of this complex multidimensional information into the evidence necessary to support clinical care exceeds the raw human cognitive capacity. Information systems have the capacity to provide the needed "tool" to tackle this challenge - to generate the necessary evidence to support the delivery of personalized medicine. Arizona State University's (ASU) Complex Adaptive Systems team is building such an Evidence Engine in its Next Generation Cyber Capability (NGCC). The ASU NGCC - composed of networks, hardware, software, and people transforms "Big Data" to information and creates the evidence necessary to enable personalized medicine.

Show Resources
You May Also Like
MAY 11, 2021 10:00 AM PDT
C.E. CREDITS
MAY 11, 2021 10:00 AM PDT
Date: May 11, 2021 Time: 10:00zm PDT Your samples are some of the most valuable assets in the laboratory. After spending countless hours on extraction and preparation, your conclusions could...
JUN 09, 2021 7:00 AM PDT
C.E. CREDITS
JUN 09, 2021 7:00 AM PDT
Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
JUL 15, 2021 9:00 AM PDT
Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
JUL 15, 2021 9:00 AM PDT
Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
Date: July 15, 2021 Time: 9:00am (PDT), 12:00pm (EDT) The Pisces workflow robust, easy-to-use, end-to-end multi-omics solution for highly multiplexed targeted Spatial RNA analysis. VeranomeB...
JUN 22, 2021 10:00 AM PDT
Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
C.E. CREDITS
JUN 22, 2021 10:00 AM PDT
Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
Date: June 22, 2021 Time: 10:00am (PDT), 1:00pm (EDT) Antimicrobial resistance (AMR) has emerged as one of the principal public health problems of the 21st century. It threatens the effectiv...
APR 01, 2021 8:00 AM PDT
C.E. CREDITS
APR 01, 2021 8:00 AM PDT
Date: April 01, 2021 Time: 8:00am (PST), 11:00am (EST) Generating therapeutic antibodies is far more challenging than obtaining antibodies that merely recognize their targets. Engineering po...
MAR 16, 2021 10:00 AM PDT
C.E. CREDITS
MAR 16, 2021 10:00 AM PDT
Date: March 16, 2021 Time: 10:00am (PST) Scientific progress and breakthroughs today are often too expensive for most institutions to acquire. Each year, the National Institutes of Health (N...
Loading Comments...
Show Resources
Attendees
  • See more