Toward a Systems Biology Software Toolkit

Insight to complex problems may be revealed when domain data sets are viewed or structured in new and innovative ways. Systems approaches to biomedical problems fundamentally involve forecasting, and a deliberate integration of diverse data sources. Adding a clinical proteomic dimension to these developing efforts affirms the ultimate aims of enhanced diagnostic prediction, maximizing the possibility for a rational therapy individualized to a patient's pathologic process, and thus, improving patient outcomes. Consistent with these evolving goals, computer-aided diagnostic systems are rapidly approaching a new paradigm involving the integration of medical imaging with high throughput molecular medicine tests. As medical imaging systems become more sensitive in finding anatomic anomalies, their lack of specificity becomes much more of a clinical dilemma. Proteomic tests may be used to help resolve the lack of specificity of imaging findings. A synergistic test composed of a targete...

• Type: Conference
• Year: 2004
• Where: CBMS
• Authors: Donald J. Johann, Michael D. McGuigan, Stanimire Tomov, Eric Blum, Gordon R. Whiteley, Emanuel F. Petricoin, Lance A. Liotta
• Keywords: CBMS 2004, Clinical Proteomic Dimension, Medical Imaging, Proteomic