Abstract: The current document is directed to methods and systems for organizing, storing, searching, aggregating, and distributing large quantities of biological information obtained for individual patients. In one described implementation, the knowledge and information is stored, in data-storage facilities within cloud-computing-like systems, as clinical actions, biological elements, and variants that are logically linked together to form network-like data structures. Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers along with a variety of services that receive and process queries from users, medical-service providers, and electronic-health-record-based applications and that return requested information to the requesting entities.
Abstract: The current document is directed to methods and systems for organizing, storing, searching, aggregating, and distributing large quantities of biological information obtained for individual patients. In one described implementation, the knowledge and information is stored, in data-storage facilities within cloud-computing-like systems, as clinical actions, biological elements, and variants that are logically linked together to form network-like data structures. Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers along with a variety of services that receive and process queries from users, medical-service providers, and electronic-health-record-based applications and that return requested information to the requesting entities.
Abstract: The current document is directed to methods and systems for organizing, storing, searching, aggregating, and distributing large quantities of biological information obtained for individual patients. In one described implementation, the knowledge and information is stored, in data-storage facilities within cloud-computing-like systems, as clinical actions, biological elements, and variants that are logically linked together to form network-like data structures. Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers along with a variety of services that receive and process queries from users, medical-service providers, and electronic-health-record-based applications and that return requested information to the requesting entities.
Abstract: The present invention relates generally to systems and methods of enhancing recovery of function of injured tissue through administration of a composition comprising a relatively pure populations of B lymphocyte cells in a pharmaceutically acceptable carrier to the injured tissue. Kits are provided to aid in purification of B cells from heterogeneous mixtures of cells and administration of B cells to injured tissue.
Type:
Application
Filed:
March 23, 2010
Publication date:
October 21, 2010
Applicant:
ACTx, Inc.
Inventors:
Mark C. Poznansky, Traci T. Goodchild, Mark T. Ungs, Nicolas A.F. Chronos, Nadine Weich
Abstract: The present invention relates generally to systems and methods of enhancing recovery of function of injured tissue through administration of a composition comprising a relatively pure populations of B lymphocyte cells in a pharmaceutically acceptable carrier to the injured tissue. Kits are provided to aid in purification of B cells from heterogeneous mixtures of cells and administration of B cells to injured tissue.
Type:
Grant
Filed:
April 18, 2006
Date of Patent:
April 13, 2010
Assignee:
ACTX, Inc.
Inventors:
Mark C. Poznansky, Traci T. Goodchild, Mark T. Ungs, Nicholas A. F. Chronos, Nadine Weich