Patents Assigned to University of Virginia Patent Foundation
  • Publication number: 20220146443
    Abstract: A method of measuring thermal conductivity of a material includes focusing a modulated pump laser beam having a modulation frequency that induces a cyclical steady-state temperature rise at a spot of a material, focusing a CW probe laser beam at the spot and generating a reflected probe beam reflected from the spot on the material, the reflected probe beam having a magnitude of a reflectance signal as a function of the temperature of the material and being periodic corresponding to the cyclical temperature rise, measuring the magnitude of the reflectance signals of the reflected probe beam, and determining the thermal conductivity by fitting the power of the pump beam and the measured magnitude of the reflectance signal to a thermal model which is a function of a thermal conductivity of the material relating the radial heat flux to the temperature rise.
    Type: Application
    Filed: August 28, 2019
    Publication date: May 12, 2022
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Jeffrey L. BRAUN, David H. OLSON, John T. GASKINS, Patrick E. HOPKINS
  • Publication number: 20220145629
    Abstract: A modular, self-contained unit that includes utility input and output connections and connective pathways in communication with the input and output connections that provide an internal flowpath for utilities such as, but not limited to, chilled and heated domestic water, chilled water, processed chilled water, compressed air, various gaseous services, electricity, and digital data communications. The internal flowpaths may also comprise a service pathway in communication with an isolation component that allows control and use of the utility by an end user (or other end-user equipment, end-user systems, or end-use devices). The self-contained modular units may be directly or indirectly in communication with similar self-contained modular units, such that the utility services may flow through and into multiple units.
    Type: Application
    Filed: December 9, 2019
    Publication date: May 12, 2022
    Applicant: University of Virginia Patent Foundation
    Inventor: Jonathan C. Bruneau
  • Patent number: 11324723
    Abstract: Compositions and methods are provided that are useful for diagnosing, treating, and monitoring alcohol dependence and disorders, susceptibility to alcohol dependence disorders, as well as drug related dependence and disorders. The methods include treating patients with an antagonist of the serotonin receptor 5-HT3 for such disorders, wherein the patient's serotonin transporter gene SLC6A4 is known to have particular genotypes.
    Type: Grant
    Filed: February 6, 2020
    Date of Patent: May 10, 2022
    Assignee: University of Virginia Patent Foundation
    Inventor: Bankole A. Johnson
  • Patent number: 11320506
    Abstract: A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data correspond
    Type: Grant
    Filed: April 8, 2020
    Date of Patent: May 3, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Changyu Sun, Frederick H. Epstein, Yang Yang, Xiaoying Cai, Michael Salerno, Craig H. Meyer, Daniel Stuart Weller
  • Publication number: 20220126293
    Abstract: A fluidic storage device capable of long-term storage of biological, chemical, and biochemical substances, including fluids and solids of a corrosive nature or generally incompatible with traditional reagent storage methods like blister packs. The fluidic device employs a fiber-based substrate which allows the substance to be stored long-term within the structure of the fiber-based substrate through capillary action. The stored substance can be released from the fiber-based substrate and used as needed as a result of active or passive forces incurred on the fluidic device. The storage as described herein will assist in minimizing the hazards associated with performing POI and POC testing by scaling down the required reagent volumes as well as facilitating long-term reagent storage and analysis on a single integrated, portable fluidic device.
    Type: Application
    Filed: October 27, 2021
    Publication date: April 28, 2022
    Applicant: University of Virginia Patent Foundation
    Inventors: James P. Landers, Killian O'Connell
  • Patent number: 11312775
    Abstract: Methods of treating, preventing, inhibiting, delaying the onset of, or ameliorating a neurological immunity disorder can include administering an effective amount of a compound comprising an antibody or antigen binding fragment of an antibody to a subject in need of treatment, prevention, inhibition, delay of onset, or amelioration of a neurological immunity disorder. The antibody or the antigen binding fragment of an antibody binds specifically to CD49a.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: April 26, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Jonathan Kipnis, Antoine Louveau
  • Patent number: 11314750
    Abstract: A method of searching tree-structured data can be provided by identifying all labels associated with nodes in a plurality of trees including the tree-structured data, determining which of the labels is included in a percentage of the plurality of trees that exceeds a frequent threshold value to provide frequent labels, defining frequent candidate sub-trees for searching within the plurality of trees using combinations of only the frequent labels, and then searching for the frequent candidate sub-trees in the plurality of trees including the tree-structured data using a plurality of pruning kernels instantiated on a non-deterministic finite state machine to provide a less than exact count of the frequent candidate sub-trees in the plurality of trees.
    Type: Grant
    Filed: January 14, 2019
    Date of Patent: April 26, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Elaheh Sadredini, Kevin Skadron, Gholamreza Rahimi, Ke Wang
  • Patent number: 11311665
    Abstract: An insulin monitoring system includes one or more processors, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include: first program instructions to track, in real time, the amount of insulin active in a patient; second program instructions to calculate the amount of insulin need of the patient by tracking the patient's metabolic states; third program instructions to compare the insulin active in the patient with the insulin need of the patient; and fourth program instructions to determine an insulin fault level based on the comparison.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: April 26, 2022
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Stephen D. Patek, Boris P. Kovatchev
  • Patent number: 11309088
    Abstract: A method and system use mathematical models and available patient information to virtualize a continuous glucose monitoring trace for a period of time. Such a method and system can generate the virtualized trace when episodic patient data is incomplete. Such a method and system can also rely on self-monitored blood glucose measurement information to improve the virtualized continuous glucose monitoring trace.
    Type: Grant
    Filed: January 30, 2017
    Date of Patent: April 19, 2022
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Stephen D. Patek, Marc D. Breton
  • Patent number: 11306041
    Abstract: Catalytic methods for synthesis of super linear alkenyl arenes and alkyl arenes are provided. The methods are capable of synthesizing super linear alkyl and alkenyl arenes from simple arene and olefin starting materials and with high selectivity for linear coupling. Methods are also provided for making a 2,6-dimethylnapthalene (DMN) or 2,6-methylethylnapthalene (MEN).
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: April 19, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: William Schinski, Alan Goldman, Thomas B. Gunnoe, Michael S. Webster-Gardiner, Nichole Schwartz
  • Patent number: 11301019
    Abstract: A system-on-a-chip (SoC) comprises a power supply circuit coupled to an energy harvesting transducer and configured to operate using energy from the energy harvesting transducer; a microcontroller coupled to a system bus of the SoC; an interface configured to communicate with the microcontroller via the system bus of the SoC, the interface configured to generate data upon occurrence of an event; and a computation accelerator configured to establish, based on an energy consumption level of the SoC, a data path between the interface and the computation accelerator that at least partially bypasses the system bus such that the data is transmitted to the computation accelerator via the data path.
    Type: Grant
    Filed: November 2, 2020
    Date of Patent: April 12, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Christopher J. Lukas, Benton H. Calhoun, Farah B. Yahya
  • Patent number: 11294015
    Abstract: Suppressing artifacts in MRI image acquisition data includes alternatives to phase cycling by using a Convolutional Neural Network to suppress the artifact-generating echos. A U-NET CNN is trained using phase-cycled artifact-free images for ground truth comparison with received displacement encoded stimulated echo (DENSE) images. The DENSE images include data from a single acquisition with both stimulated (STE) and T1-relaxation echoes. The systems and methods of this disclosure are explained as generating artifact-free images in the ultimate output and avoiding the additional data acquisition needed for phase cycling and shortens the scan time in DENSE MRI.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: April 5, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Mohammad Abdishektaei, Xue Feng, Xiaoying Cai, Craig H. Meyer, Frederick H. Epstein
  • Patent number: 11289201
    Abstract: A system, method and non-transient computer readable medium for tracking hypoglycemia risk in patients with diabetes exercise. A system may include a digital processor configured to execute instructions to receive an input from each available data source of a plurality of intermittently available data sources; determine a plurality of probability signals for impending hypoglycemia, wherein each probability signal is based on one or more of the inputs from the available data sources or a lack of input from an unavailable data source; wherein a probability signal for each unavailable data source is assigned a value corresponding to a zone of uncertainty; and determine an aggregate risk of hypoglycemia based on the plurality of intermittently data sources by aggregating the plurality of probability signals.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: March 29, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Marc D. Breton, Boris P. Kovatchev
  • Patent number: 11278641
    Abstract: Disclosed are methods of delivering an agent to the lumen of the vas deferens under guidance of ultrasound imaging. The methods include vas-occlusive contraception in which the vas deferens is non-surgically isolated and an occlusive substance is percutaneously administered into the lumen of the vas deferens under ultrasound. Also disclosed are methods of reversal of vas-occlusive contraception and methods of delivering an agent to the lumen of the vas deferens. Also disclosed are compositions for use in the methods of the invention.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: March 22, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: John C. Herr, Alexander L. Klibanov, Kevin Simon Eisenfrats
  • Patent number: 11269036
    Abstract: In one aspect the disclosed technology relates to embodiments of a method (e.g., for automatic cine DENSE strain analysis) which includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject where the acquired magnetic resonance data includes one or more phase-encoded data sets. The method also includes determining, from at least the one or more phase-encoded data sets, a data set corresponding to the physiological activity in the area of interest where the reconstruction comprises performing phase unwrapping of the phase-encoded data set using region growing along multiple pathways based on phase predictions.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: March 8, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Frederick H. Epstein, Daniel A. Auger, Changyu Sun, Xiaoying Cai
  • Patent number: 11253245
    Abstract: A surgical device for retracting tissue of a subject while offering lighting and suction means integrated into the same device. This device is useful in many different surgical procedures, including those requiring precise tissue retraction in small openings of a subject, such as facial orbital fracture repair.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: February 22, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Megan E. Green, Madeline M. Morris, Maria Filippa Trikantzopoulou, Patrick S. Cottler, Jonathan S. Black, Anthony J. Archual
  • Publication number: 20220051798
    Abstract: A technique for providing biobehavioral rhythm models that generate a series of characteristic features which are further used for measuring stability in biobehavioral rhythms and to predict different outcomes such as health status through a machine learning component. A computational framework is provided for modeling biobehavioral rhythms from mobile and wearable data streams that rigorously processes sensor streams, detects periodicity in data, models rhythms from that data and uses the cyclic model parameters to predict an outcome. The framework can reliably discover various periods of different length in data, extract cyclic biobehavioral characteristics through exhaustive modeling of rhythms for each sensor feature; and provide the ability to use different combination of sensors and data features to predict an outcome.
    Type: Application
    Filed: August 10, 2021
    Publication date: February 17, 2022
    Applicant: University of Virginia Patent Foundation
    Inventors: Afsaneh Doryab, Runze Yan, Xinwen Liu
  • Publication number: 20220042025
    Abstract: Provided are nucleic acids and vectors that collectively encode various gene products related to converting styrene to polyhydroxybutyrate (PHB). In some embodiments, the nucleic acids and vectors collectively encode a styrene monooxygenase polypeptide, a flavin reductase polypeptide, a styrene-oxide isomerase polypeptide, and a phenylacetaldehyde dehydrogenase polypeptide, an acetyl-CoA C-acetyltransferase polypeptide, a 3-ketoacyl-ACP reductase polypeptide, a class I poly(R)-hydroxyalkanoic acid synthase polypeptide, and optionally an influx porin polypeptide. Also provided are systems and methods for producing PHB from styrene, methods and systems for remediating polystyrene waste. In some embodiments, the systems are in vivo systems.
    Type: Application
    Filed: August 6, 2021
    Publication date: February 10, 2022
    Applicant: University of Virginia Patent Foundation
    Inventors: Simonne Guenette, Mark Kester, Keith Kozminski, Alec Brewer, Kobe Rogers, Annabel Wright, Aarati Pokharel
  • Publication number: 20220040407
    Abstract: Equivalent insulin pump retrospective virtual basal rates for daily injections are constructed from planned insulin injections according to a virtual basal rate profile developed for a patient, and a database of historical insulin injections, i.e. basal injections actually administered by the patient, providing a unified framework for analysis, design, optimization, and adaptation of MDI (multiple daily injections) and CSII (continuous subcutaneous insulin infusion (i.e. insulin pump)) treatment parameters for patients with diabetes.
    Type: Application
    Filed: October 15, 2021
    Publication date: February 10, 2022
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Stephen D. PATEK, Marc D. BRETON
  • Patent number: 11241526
    Abstract: Provided is a method and system for delivering a diagnostic agent to a site in the brain of a subject for imaging at least a portion of the brain site on a medical imaging system. The method and system includes a catheter device with associated lumens having diagnostic agent ports for delivering the diagnostic agent (e.g., infusate) through the lumens and advancing the diagnostic agent so as to exit out from the lumens to at least a portion of the brain site and while sealing a portion of the brain site thereby preventing the exited diagnostic agent from travelling proximally beyond the sealing location, and at the same time imaging at least a portion of the brain site during at least a portion of the sealing duration so that the brain site can be visualized on a medical imaging system. The diagnostic agent (infusate) is able to highlight borders and internal patterns of the deep structures of the brain thereby enabling direct targeting.
    Type: Grant
    Filed: November 6, 2018
    Date of Patent: February 8, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: William J. Elias, Aaron E. Bond, George T. Gillies