Organ failure: a computational model and perspective

Abstract

Organ failure in biological systems is perceived as a physiological failure which is addressable via organ transplantation. Transplantation is challenging when donor organs are not easily available. Therefore, the development of a perspective capable of yielding potential therapies is required. The presented research addresses this problem and considers the biological system’s poly-computing capability. The proposed solution considers that the organs are biological computing nodes. It considers that organ failure arises when biological computing nodes don’t perform their expected function. The proposed approaches are the micro-brain and macro-brain consciousness paradigm (MMCP) and evolutionary consciousness paradigm (ECP). MMCP and ECP describe aspects concerning the relations, synaptic evolution, communication, and adaptation to handle multi-sensory inputs. The research describes how MMCP and ECP influence technology and application development. Furthermore, performance evaluation is done to investigate the operational duration of the concerned biological entities. Analysis shows that using the proposed approach enhances the operational duration by an average of (25.2–54.1)%.