| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 8400612 | Progress in Biophysics and Molecular Biology | 2017 | 62 Pages | 
Abstract
												Early results indicate that this approach can capture the functional transformations of biological emergence, whilst being reasonably computable. Due to its geometric foundations and narrative-based extension to logic, the method will also generate speculative predictions. This research forms the foundations of a new biomedical modeling platform, which is discussed.
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											Authors
												Beth Cardier, H.T. Goranson, Niccolo Casas, Patric Lundberg, Alessio Erioli, Ryuji Takaki, Dénes Nagy, Richard Ciavarra, Larry D. Sanford, 
											