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    ENDOSCOPE WITH REMOVABLE ELEVATOR
    62.
    发明申请
    ENDOSCOPE WITH REMOVABLE ELEVATOR 有权

    公开(公告)号：US20220280023A1

    公开(公告)日：2022-09-08

    申请号：US17687346

    申请日：2022-03-04

    Applicant: UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INCORPORATED

    Inventor： Faisal BUKEIRAT

    IPC: A61B1/005 ,  A61B1/018 ,  A61B1/008

    Abstract: An apparatus (100) having: a flexible tube (104) with a proximal end (106), a distal end (108), a lateral aperture (110) in the flexible tube at the distal end, and a guide channel (112) connecting the proximal end to the lateral aperture; an elevator (102) in the distal end having a redirecting surface (130) configured to bend and guide an instrument through the lateral aperture, where movement of the redirecting surface changes a magnitude of a bend in the instrument; and an elevator joint (132) between the elevator and the distal end that permits the movement of the redirecting surface. The elevator joint is configured to release the elevator through the lateral aperture.

    ENHANCED TRANSDUCTION OF AAV VECTORS ENCODING MICRORNAS
    63.
    发明申请
    ENHANCED TRANSDUCTION OF AAV VECTORS ENCODING MICRORNAS 有权

    公开(公告)号：US20220273815A1

    公开(公告)日：2022-09-01

    申请号：US17603300

    申请日：2020-04-13

    Applicant: University of Florida Research Foundation, Incorporated

    Inventor： Arun Srivastava ,  Keyun Qing

    IPC: A61K48/00 ,  C12N15/86 ,  C12N15/113 ,  A61K45/06

    Abstract: Provided herein are recombinant adeno-associated virus (rAAV) particles encoding microRNAs targeting the glucocorticoid receptor (GR) pathway, and in particular a microRNA17-92 (miR 17-92) cluster, and genes of interest. The modified genomes of these rAAV particles comprise heterologous nucleic acid sequences encoding microRNA structures. These particles exhibit enhanced transduction efficiencies in mammalian cells. Also provided herein are compositions of nucleic acids encoding the miR 17-92 cluster and nucleic acids encoding a gene of interest. Further provided herein are methods for administering these nucleic acid compositions to enhance transduction efficiencies.

    N-arylated analogues and uses thereof
    66.
    发明授权
    N-arylated analogues and uses thereof 有权

    公开(公告)号：US11419335B2

    公开(公告)日：2022-08-23

    申请号：US16467461

    申请日：2017-12-07

    Applicant: University of Florida Research Foundation, Incorporated

    Inventor： Robert William Huigens, III ,  Yasmeen Abouelhassan ,  Akash Basak

    IPC: A01N43/50 ,  A61K31/4174 ,  A61K31/4184 ,  A61K31/4164 ,  C07D233/58 ,  C07D235/08 ,  C07D249/04

    Abstract: The present invention provides novel compounds of Formula (I′) and (I), and pharmaceutically acceptable salts, solvates, hydrates, polymorphs, co-crystals, tautomers, stereoisomers, isotopically labeled derivatives, prodrugs, and compositions thereof. Also provided are methods and kits involving the inventive compounds or compositions for killing a microorganism (e.g., bacteria, fungi, viruses, protozoa, or multicellular parasites), the prevention and/or treatment of infectious diseases (e.g., infections by microorganisms, bacterial infection, cystic fibrosis infection, foreign body infection, urinary tract infection (UTI), or infections leading to biofilms), controlling and/or eradicating biofilms (e.g., bacterial biofilms), preventing biofilm formation, sterilizing a surface, and/or eradicating persister cells (e.g., in a subject in need thereof or in a subject involving a biofilm).

    MACHINE LEARNING DEVELOPMENT USING SUFFICIENTLY-LABELED DATA
    67.
    发明申请
    MACHINE LEARNING DEVELOPMENT USING SUFFICIENTLY-LABELED DATA 有权

    公开(公告)号：US20220261636A1

    公开(公告)日：2022-08-18

    申请号：US17584505

    申请日：2022-01-26

    Applicant: University of Florida Research Foundation, Incorporated

    Inventor： Jose C. Principe ,  Shiyu Duan

    IPC: G06N3/08 ,  G06K9/62 ,  G16H50/30

    Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for training a machine learning model comprising a hidden module and an output module and configured for identifying one of a plurality of original labels for an input. In accordance with one embodiment, a method is provided that includes generating sufficiently-labeled data comprising example-pairs each associated with a sufficient label. The sufficient label of an example-pair indicates whether a first and a second input example have the same original label. The method further includes training the hidden module using the sufficiently-labeled data, and subsequently, training the output module using a plurality of input examples each having an original label. The plurality of input examples may be a plurality of fully-labeled data. The method further includes automatically providing the resulting trained machine learning model for use in prediction tasks.

    STRONGLY-INTERACTING MAGNETIC PARTICLE IMAGING
    68.
    发明申请
    STRONGLY-INTERACTING MAGNETIC PARTICLE IMAGING 有权

    公开(公告)号：US20220260655A1

    公开(公告)日：2022-08-18

    申请号：US17629301

    申请日：2020-07-23

    Applicant: The Regents of the University of California ,  University of Florida Research Foundation, Incorporated

    Inventor： Steven Conolly ,  Carlos Rinaldi ,  Bo Zheng ,  Prashant Chandrasekharan ,  Daniel Hensley ,  Shehaab Savliwala ,  Zhi Wei Tay ,  Rohan Deepak Dhavalikar

    IPC: G01R33/12 ,  A61B5/0515

    Abstract: A magnetic particle imaging system that includes a magnetic field generating system with at least one magnet and providing a gradient magnetic field within an observation region such that the gradient magnetic field has a dynamic field-free region (FFR) for an object under observation having strongly-interacting magnetic particles distributed therein. The magnetic field generating system also includes a drive field and a slow shift field that dynamically shifts the FFR across a field of view (FOV) within the observation region, where the trajectory of the drive field accommodates for a coercivity of the strongly-interacting magnetic particles by ensuring that the particles in the FOV are saturated to a full coercivity field prior to traversing to an opposite-polarity of coercivity. The magnetic particle imaging system also includes a detection system proximate the observation region and configured to detect a signal from the strongly-interacting magnetic particles. The magnetic particle imaging system further includes signal processor in communication with the detection system, configured to receive and process the detected signal to remove a coercivity shift due to the coercivity of the strongly-interacting magnetic particles, and convert the processed detection signal into an image of the strongly-interacting magnetic particles.

    STEGANOGRAPHY OF HARDWARE INTELLECTUAL PROPERTY
    69.
    发明申请
    STEGANOGRAPHY OF HARDWARE INTELLECTUAL PROPERTY 有权

    公开(公告)号：US20220253563A1

    公开(公告)日：2022-08-11

    申请号：US17589040

    申请日：2022-01-31

    Applicant: University of Florida Research Foundation, Incorporated

    Inventor： Swarup Bhunia ,  Abdulrahman Alaql

    IPC: G06F21/75 ,  G06F21/10 ,  G06F30/30

    Abstract: In general, embodiments of the present disclosure provide methods, apparatus, systems, computer program products, computing devices, and computing entities for modifying a design of a hardware IP. According to one embodiment, a method is provided, the method including generating a control and data flow graph (CDFG) representation for portions of the design. The method further includes partitioning the CDFG representation into a set of partitioned sub-graphs. The method further includes, for each partitioned sub-graph, generating a merged sub-graph to form a set of merged sub-graphs. Generating the merged sub-graph for each partitioned sub-graph involves generating a container sub-graph and merging the container sub-graph with the partitioned sub-graph to form the merged sub-graph. The container sub-graph may be a modification of the partitioned sub-graph with respect to an identified feature, in some examples. The method further includes synthesizing a modified design of the hardware IP including the set of merged sub-graphs.

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