Abstract: System for monitoring intracranial compliance in a patient includes an intracranial pressure sensor, configured to obtain a measurement indicative of an intracranial pressure of a patient, a CO2 sensor, configured to obtain a measurement indicative of a CO2 level of the patient, and a processor, configured to determine an intracranial compliance from the measurements indicative of the intracranial pressure and the CO2 level. Methods for monitoring intracranial compliance in a patient are also provided.

Abstract: Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.

Abstract: Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.

Abstract: Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.

Abstract: Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.

Abstract: A mathematical prognostic in which changes in a number of physiologically significant factors are measured and interpolated to determine a “damage fluction” incident to bacterial infection or other serious inflammation, followed by either or both of in vitro or in vivo investigations of a particular active agent (drug) and adjustment of the model so as better to evaluate the particular active agent. By measuring a large number of physiologically significant factors including, but not limited to, Interleukin 6 (IL-6), Interleukin 10 (IL-10), Nitric Oxide (NO), and others, it is possible to predict life versus death by the damage function, dD/dt. To evaluate one or more drug candidates against inflammation, the mathematical model is applied first, followed by in vivo and/or in vitro investigations, and the in vivo and/or in vitro investigations are in turn used to adjust or to enhance, if applicable, the mathematical model as it is applied to the particular drug candidate.

Abstract: A mathematical prognostic in which changes in a number of physiologically significant factors are measured and interpolated to determine a “damage function” incident to bacterial infection or other serious inflammation. By measuring a large number of physiologically significant factors including, but not limited to, Interleukin 6 (IL6), Interleukin 10 (IL10), Nitric Oxide (NO), and others, it is possible to predict life versus death by the damage function, dD/dt, which measures and interpolates differential data for a plurality of factors. In mammals, an IL6/NO ratio <8 at 12 hours post infection is highly predictive (60%) of mortality; also in mammals, an IL6/NO ratio <4 at 24 hours post infection is highly predictive (52%) of mortality; and an IL6/IL10 ratio in mammals of <7.5 at 24 hours post infection is highly predictive (68%) of mortality.