Abstract: Provided herein are in silico methods of modeling hepatic inflammation, fibrosis/cirrhosis, and cancer. The models are computer-implemented agent-based models and are useful in determining patient prognoses in hepatic conditions, including viral infections, damage, inflammation, and cancer. The modeling system also is useful in modeling the effects of active agents on normal hepatic tissue or hepatic tissue perturbed by inflammation, infection, damage, fibrosis/cirrhosis, and cancer.

Abstract: Provided herein are methods for segregating trauma, e.g., blunt trauma, patients into different cohorts based on risk of multiple organ dysfunction syndrome using patient data obtained within a short time window following injury. The methods are useful in providing treatment to trauma patients, and for separating trauma patients into cohorts.

Abstract: Provided herein are methods for segregating trauma, e.g., blunt trauma, patients into different cohorts based on risk of multiple organ dysfunction syndrome using patient data obtained within a short time window following injury. The methods are useful in providing treatment to trauma patients, and for separating trauma patients into cohorts.

Abstract: This document describes a search engine that accepts as input different types of data files and conditions for search parameters, including both single and multiple time points, concatenates these data, and outputs data from the different types of files that satisfies the specified search conditions. In one aspect, a method includes receiving a selection of a multiple input data files that each include data on which a search is to be performed. The input data files include different types of data files having different data formats. An in-memory data structure that includes the data of the input data files arranged in a common format is generated. For each of one or more search parameters, data indicating a condition for the search parameter is received. A set of data that satisfies the condition of each of the one or more search parameters is identified in the in-memory data structure.

Abstract: A bioreactor is provided which contains cells capable of producing cytokine inhibitors in response to cytokines, in a manner regulated by the local or systemic milieu of an individual patient and predicted by mechanistic computational simulations. The bioreactor transfers the cytokine inhibitors to a patient in need of control of the inflammation process as part of a disease or condition in the patient, such as sepsis, trauma, traumatic brain injury, or wound healing. Related methods also are provided.

Abstract: Provided herein are in silico methods of modeling hepatic inflammation, fibrosis/cirrhosis, and cancer. The models are computer-implemented agent-based models and are useful in determining patient prognoses in hepatic conditions, including viral infections, damage, inflammation, and cancer. The modeling system also is useful in modeling the effects of active agents on normal hepatic tissue or hepatic tissue perturbed by inflammation, infection, damage, fibrosis/cirrhosis, and cancer.

Abstract: Provided herein are in silico methods of modeling hepatic inflammation, fibrosis/cirrhosis, and cancer. The models are computer-implemented agent-based models and are useful in determining patient prognoses in hepatic conditions, including viral infections, damage, inflammation, and cancer. The modeling system also is useful in modeling the effects of active agents on normal hepatic tissue or hepatic tissue perturbed by inflammation, infection, damage, fibrosis/cirrhosis, and cancer.

Abstract: A bioreactor is provided which contains cells capable of producing cytokine inhibitors in response to cytokines, in a manner regulated by the local or systemic milieu of an individual patient and predicted by mechanistic computational simulations. The bioreactor transfers the cytokine inhibitors to a patient in need of control of the inflammation process as part of a disease or condition in the patient, such as sepsis, trauma, traumatic brain injury, or wound healing. Related methods also are provided.

Abstract: A bioreactor is provided which contains cells capable of producing cytokine inhibitors in response to cytokines, in a manner regulated by the local or systemic milieu of an individual patient and predicted by mechanistic computational simulations. The bioreactor transfers the cytokine inhibitors to a patient in need of control of the inflammation process as part of a disease or condition in the patient, such as sepsis, trauma, traumatic brain injury, or wound healing. Related methods also are provided.

Abstract: Provided herein are methods for segregating trauma, e.g., blunt trauma, patients into different cohorts based on risk of multiple organ dysfunction syndrome using patient data obtained within a short time window following injury. The methods are useful in providing treatment to trauma patients, and for separating trauma patients into cohorts.

Abstract: Provided herein are in silico methods of modeling hepatic inflammation, fibrosis/cirrhosis, and cancer. The models are computer-implemented agent-based models and are useful in determining patient prognoses in hepatic conditions, including viral infections, damage, inflammation, and cancer. The modeling system also is useful in modeling the effects of active agents on normal hepatic tissue or hepatic tissue perturbed by inflammation, infection, damage, fibrosis/cirrhosis, and cancer.

Abstract: A bioreactor is provided which contains cells capable of producing cytokine inhibitors in response to cytokines, in a manner regulated by the local or systemic milieu of an individual patient and predicted by mechanistic computational simulations. The bioreactor transfers the cytokine inhibitors to a patient in need of control of the inflammation process as part of a disease or condition in the patient, such as sepsis, trauma, traumatic brain injury, or wound healing. Related methods also are 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 herein are in silico methods of modeling hepatic inflammation, fibrosis/cirrhosis, and cancer. The models are computer-implemented agent-based models and are useful in determining patient prognoses in hepatic conditions, including viral infections, damage, inflammation, and cancer. The modeling system also is useful in modeling the effects of active agents on normal hepatic tissue or hepatic tissue perturbed by inflammation, infection, damage, fibrosis/cirrhosis, and cancer.

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 bioreactor is provided which contains cells capable of producing cytokine inhibitors in response to cytokines, in a manner regulated by the local or systemic milieu of an individual patient and predicted by mechanistic computational simulations. The bioreactor transfers the cytokine inhibitors to a patient in need of control of the inflammation process as part of a disease or condition in the patient, such as sepsis, trauma, traumatic brain injury, or wound healing. Related methods also are 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.