Prenosis, Inc.

Description: Providing temporary use of on-line non-downloadable cloud computing software for real time collection of clinical data and protein biomarker measurements, and for delivery of artificial intelligence (AI) algorithms for diagnosis and prognosis of a patient’s condition in the clinical workflow for clinical decision making

Description: Providing temporary use of a non-downloadable web application for characterizing a patient’s risk of sepsis by applying machine learning to compare a combination of clinical data and biological data taken from the current patient to clinical, biological, and outcomes data from past patient datasets

Description: Providing temporary use of a non-downloadable web application for characterizing a patient’s risk of sepsis by applying machine learning to compare a combination of clinical data and biological data taken from the current patient to clinical, biological, and outcomes data from past patient datasets

Description: Providing temporary use of a non-downloadable web application for characterizing a patient’s risk of sepsis by applying machine learning to compare a combination of clinical data and biological data taken from the current patient to clinical, biological, and outcomes data from past patient datasets

Description: An automated system consisting of computer hardware, downloadable software and communications devices that characterize the immune state of a patient or group of patients by applying machine learning to compare a combination of clinical data and biological data taken from the current patient(s) to clinical, biological, and outcomes data from past patient datasets to evaluate the risk of deterioration of a patient due to infection; "SEPSIS"

Description: An automated system consisting of computer hardware, downloadable software and communications devices that characterize the immune state of a patient or group of patients by applying machine learning to compare a combination of clinical data and biological data taken from the current patient(s) to clinical, biological, and outcomes data from past patient datasets

Description: An automated system consisting of computer hardware, downloadable software and communications devices that characterize the immune state of a patient or group of patients by applying machine learning to compare a combination of clinical data and biological data taken from the current patient(s) to clinical, biological, and outcomes data from past patient datasets