Abstract:
A multiple flow-based microfluidic cell culture system that emulates mammalian physiology is provided. Tissue-mimicking cell cultures are connected by flow within a physiologically meaningful arrangement so that the pharmacokinetics of various agents to be tested in the system emulate in vivo conditions. The system includes at least two organ tissue modules, each organ tissue module including a first chamber containing an organ tissue cell, the first chamber including an inlet and an outlet for flow of an organ tissue cell-specific culture medium; a second chamber including an inlet and an outlet for flow of a blood material; and a semi-permeable membrane separating the first and second chambers. The flow of blood material through each organ tissue module is interconnected and the flow of tissue-cell specific culture medium is directed to a single organ tissue module.
Abstract:
A multicellular fluidic enhanced airway model system of the conducting airways as a tool for the evaluation of biological threats and medical countermeasures is provided. The airway model system can include a first chamber having an inlet and an outlet and containing epithelial cells; a second chamber having an inlet and an outlet and containing an extracellular matrix, wherein the second chamber is separated from the first chamber by a porous membrane; and a third chamber having an inlet and an outlet, wherein the third chamber is separated from the second chamber by a porous membrane, and wherein the airway tissue model system is configured to provide a separate fluidic pathway through each of said first, second, and third chambers. A method of analyzing tissue response to an agent via an airway tissue model system is also provided.
Abstract:
A computer implemented method is disclosed for detecting a mild traumatic brain injury (mTBI) on a subject having recently suffered a head injury. The method includes (1) receiving first electrocardiogram (ECG) data from the subject during a first transition from a first position to a second position; and (2) determining a probability value of mTBI within the subject based at least partially on the first ECG data during the first transition. The first position may be a prone position or a supine position and the second position may be a standing position.