Abstract: The present disclosure provides methods for identifying compounds that cause structural changes in a protein bound to an actin filament. The methods include the use of cells that include two actin-binding proteins, each labeled with a chromophore, and exposing the cells to a test compound. The method further includes detecting a change in fluorescence resonance energy transfer (FRET) between the chromophores.
Type:
Grant
Filed:
June 10, 2020
Date of Patent:
May 23, 2023
Assignee:
REGENTS OF THE UNIVERSITY OF MINNESOTA
Inventors:
Adam William Avery, Thomas S. Hays, David D. Thomas, Michael E. Fealey, Robyn T. Rebbeck
Abstract: Pennycress seed, seed lots, and seed meal having reduced fiber content and improved suitability for use in producing animal feed are provided.
Type:
Grant
Filed:
December 10, 2021
Date of Patent:
May 16, 2023
Assignees:
COVERCRESS INC., BOARD OF TRUSTEES OF ILLINOIS STATE UNIVERSITY, REGENTS OF THE UNIVERSITY OF MINNESOTA
Inventors:
Tim Ulmasov, Gary Hartnell, John C. Sedbrook, Michael David Marks, Ratan Chopra, Maliheh Esfahanian
Abstract: Some aspects of the present disclosure relate to systems and methods for polymer-based extrusion. Some non-limiting embodiments provide for extrusion of a liquid photopolymerizable monomer in a channel/die with the aid of a lubricating component, such as poly(dimethylsiloxane)-graft-poly(ethylene oxide) grafted copolymer (PDMS-PEO), and driven by fluid pressure (e.g., a fluid pump). Other aspects of the present disclosure relate to growing soft robots. Some non-limiting embodiments provide a novel class of robots which grow in an environment by growing at their tip (or robot head) by using the self-lubricated photopolymerization extrusion techniques of the present disclosure. Emulating biological tip growth, this process is facilitated by converting an internal monomer fluid into the solid body of the growing robot through polymerization.
Type:
Application
Filed:
November 11, 2022
Publication date:
May 11, 2023
Applicant:
Regents of the University of Minnesota
Inventors:
Christopher J. Ellison, Timothy M. Kowalewski, Lorraine F. Francis, Matthew M. Hausladen, Boran Zhao, Matthew Kubala
Abstract: The present disclosure provides an isolated or purified SARS-CoV-2 Receptor Binding Domain (RBD) polypeptide and cells for producing such a polypeptide, as well as compositions and methods thereof.
Type:
Application
Filed:
March 25, 2021
Publication date:
May 11, 2023
Applicant:
REGENTS OF THE UNIVERSITY OF MINNESOTA
Inventors:
Frank Jonathan LEE, Yushun WAN, Jian SHANG
Abstract: Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.
Abstract: Genetically modified compositions, such as non-viral vectors and T cells, for treating cancer are disclosed. Also disclosed are the methods of making and using the genetically modified compositions in treating cancer.
Type:
Grant
Filed:
November 6, 2018
Date of Patent:
May 9, 2023
Assignees:
INTIMA BIOSCIENCE, INC., REGENTS OF THE UNIVERSITY OF MINNESOTA, THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES
Inventors:
Branden Moriarity, Beau Webber, Modassir Choudhry, Steven A. Rosenberg, Douglas C. Palmer, Nicholas P. Restifo
Abstract: Genetically modified compositions, such as non-viral vectors and T cells, for treating cancer are disclosed. Also disclosed are the methods of making and using the genetically modified compositions in treating cancer.
Type:
Grant
Filed:
November 6, 2018
Date of Patent:
May 9, 2023
Assignees:
INTIMA BIOSCIENCE, INC., REGENTS OF THE UNIVERSITY OF MINNESOTA, THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES
Inventors:
Branden Moriarity, Beau Webber, Modassir Choudhry, Steven A. Rosenberg, Douglas C. Palmer, Nicholas P. Restifo
Abstract: Aspects of the subject disclosure may include, for example, embodiments for obtaining video content from a video content server, determining a quality parameter for each of the plurality of adjusted video content, and adjusting the video content to generate the plurality of adjusted video content. Each of the plurality of adjusted video content comprises a different point cloud density according to the quality parameter. Further embodiments can include receiving a request for the video content from a video content application on a communication device, and determining a distance from a viewpoint to a point-cloud object on the video content application of the communication device. Additional embodiments can include selecting an adjusted video content based on the distance from the viewpoint to the point-cloud object and the quality parameter of the adjusted video content, and providing the adjusted video content to the communication device for presentation. Other embodiments are disclosed.
Type:
Grant
Filed:
October 28, 2021
Date of Patent:
May 2, 2023
Assignees:
AT&T Intellectual Property I, L.P., Regents of the University of Minnesota
Inventors:
Bo Han, Cheuk Yiu Ip, Jackson Jarrell Pair, Feng Qian
Abstract: The invention provides a compound of formula (I): or a salt thereof, wherein A, B, R1, R2, R3 and X have any of the values described in the specification, as well as compositions comprising a compound of formula I. The compounds are useful as therapeutic agents for treating diastolic dysfunction.
Type:
Application
Filed:
March 4, 2021
Publication date:
April 27, 2023
Applicant:
Regents of the University of Minnesota
Inventors:
Samuel DUDLEY, Gunda Ingrid GEORG, Sudhakar JAKKARAJ, Narsihmulu CHERYALA
Abstract: Systems and methods for measuring changes in mechanical properties, mechanical responses, and or mechanical performances of orthodontic aligners are disclosed. The orthodontic aligners can include a plurality of speckles. The plurality of speckles are adapted for digital image correlation measurements. The methods involve acquiring digital images of the orthodontic aligner and performing digital image correlation on these images. From the digital image correlation, a change in one or more mechanical properties, mechanical responses, and/or mechanical performances in the orthodontic aligner are determined. The systems and methods can provide insight into mechanical properties of physiological structures, which can aid patient diagnosis and treatment.
Type:
Application
Filed:
February 24, 2021
Publication date:
April 27, 2023
Applicant:
REGENTS OF THE UNIVERSITY OF MINNESOTA
Inventors:
Alex FOK, Brian HOLMES, Ning YE, Susan MANTELL, Brent E. LARSON
Abstract: Self-organizing patterns with micrometer-scale feature sizes are promising for the large area fabrication of photonic devices and scattering layers in optoelectronics. Pattern formation would ideally occur in the active semiconductor to avoid the need for further processing steps. The present disclosure includes approaches to form period patterns in single layers of organic semiconductors by an annealing process. When heated, a crystallization front propagates across the film, producing a sinusoidal surface structure with wavelengths comparable to that of near-infrared light. These surface features form initially in the amorphous region within a micron of the crystal growth front, likely due to competition between crystal growth and surface mass transport. The pattern wavelength can be tuned by varying film thickness and annealing temperature, millimeter scale domain sizes are obtained. Aspects of the disclosure can be exploited for self-assembly of microstructured organic optoelectronic devices, for example.
Type:
Grant
Filed:
May 22, 2020
Date of Patent:
April 25, 2023
Assignee:
Regents of the University of Minnesota
Inventors:
Russell J. Holmes, John David Myers-Bangsund, Thomas Robert Fielitz
Abstract: Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.
Type:
Grant
Filed:
January 3, 2020
Date of Patent:
April 25, 2023
Assignee:
Regents of the University of Minnesota
Inventors:
Ethan Yize Leng, David Henry Porter, Gregory John Metzger
Abstract: The concepts and technologies disclosed herein are directed to a network-assisted Raft consensus protocol, referred to herein as “NetRaft.” According to one aspect of the concepts and technologies disclosed herein, a system can include a plurality of servers operating in a server cluster, and a plurality of P4 switches corresponding to the plurality of servers. Each server of the plurality of servers can include a back-end that executes a complete Raft algorithm to perform leader election, log replication, and log commitment of a Raft consensus algorithm. Each P4 switch of the plurality of P4 switches can include a front-end that executes a partial Raft algorithm to perform the log replication and the log commitment of the Raft consensus algorithm. The back-end can maintain a complete state for responding to requests that cannot be fulfilled by the front-end. The requests can include read requests and/or write requests.
Type:
Application
Filed:
December 19, 2022
Publication date:
April 20, 2023
Applicants:
AT&T Intellectual Property I, L.P., Regents of the University of Minnesota
Inventors:
Bo Han, Vijay Gopalakrishnan, Marco Platania, Zhi-Li Zhang, Yang Zhang
Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and ?-methylacyl CoA racemase (AMACR).
Type:
Grant
Filed:
January 8, 2020
Date of Patent:
April 18, 2023
Assignee:
Regents of the University of Minnesota
Inventors:
Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
Abstract: Functional networks are mapped for individuals and group populations based on magnetic resonance imaging, and the resulting functional mapping data (e.g., probabilistic maps of functional networks and/or integration zones where multiple functional networks overlap and/or interact) are used to guide or otherwise monitor the delivery of neuromodulation therapies. Individual-specific functional network maps can be generated based on an overlapping template matching that is capable of assigning multiple networks to a given grayordinate.
Type:
Application
Filed:
October 10, 2022
Publication date:
April 13, 2023
Applicant:
Regents of the University of Minnesota
Inventors:
Robert Jeremiah Matthias Hermosillo, Damien A. Fair, III, Eric Feczko, Lucille Anne Moore, Óscar Miranda-Domínguez
Abstract: A method comprises obtaining input data comprising a hologram of a 3-dimensional (3D) particle field, a depth map of the 3D particle field, and a maximum phase projection of the 3D particle field. The method also comprises applying a U-net convolutional neural network (CNN) to the input data to generate output data. Encoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the encoder block. Decoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the decoder block. The output data includes a channel in which pixel intensity corresponds to relative depth of particles in the 3D particle field and an output image indicating locations of centroids of the particles in the 3D particle field.
Type:
Grant
Filed:
January 29, 2021
Date of Patent:
April 11, 2023
Assignee:
Regents of the University of Minnesota
Inventors:
Jiarong Hong, Siyao Shao, Kevin Mallery
Abstract: Systems and methods for treating cancerous tumors (including glioblastoma multiforme (GBM)) with electrotherapy, such as deep brain stimulation (DBS) technology, as disclosed herein. One or more configurations can be generated based on a patients tumor characteristics. The selected configurations can be electrode configurations or settings for an electrical source coupled to the electrodes. The one or more configurations can be targeted for inhibiting cell growth process, such as to inhibit mitosis, immune suppression, or to inhibit DNA replication. Inhibition of cell growth processes can initiate death of the cancerous cells.
Type:
Grant
Filed:
August 29, 2019
Date of Patent:
April 11, 2023
Assignee:
Regents of the University of Minnesota
Inventors:
Clark C. Chen, Gregory Frederick Molnar
Abstract: A method includes receiving a satellite image of an area and classifying each pixel in the satellite image as representing water, land or unknown using a model. For each of a plurality of possible water levels, a cost associated with the water level is determined, wherein determining the cost associated with a water level includes determining a number of pixels for which the model classification must change to be consistent with the water level and determining a difference between the water level and a water level determined for the area at a previous time point. The lowest cost water level is selected and used to reclassify at least one pixel.