Abstract: The invention provides methods and compositions that are useful for treating allergic diseases, bacterial infections, fungal infections, viral infections, mastocytosis, mast cell-mediated inflammation and parasite infections (e.g., helminth infections).
Type:
Grant
Filed:
August 12, 2016
Date of Patent:
September 1, 2020
Assignee:
Rutgers, The State University of New Jersey
Abstract: The invention provides an antibacterial compound of formula (I) or a salt thereof, as well as an antibacterial compound of formula (II) or a salt thereof, wherein R1, R2, W, X, Y and n have any of the values defined in the specification.
Type:
Grant
Filed:
March 24, 2017
Date of Patent:
September 1, 2020
Assignee:
Rutgers, The State University of New Jersey
Inventors:
Kathryn Uhrich, Yingyue Zhang, Allison Faig, Michael Chikindas
Abstract: Augmented or synergized anti-inflammatory constructs are disclosed including anti-inflammatory amino acids covalently conjugated with other anti-inflammatory molecules such as nonsteroidal anti-inflammatory drugs, vanilloids and ketone bodies. Further conjugation with a choline bioisostere or an additional anti-inflammatory moiety further augments the anti-inflammatory activity.
Type:
Grant
Filed:
June 28, 2018
Date of Patent:
August 25, 2020
Assignees:
LEHIGH UNIVERSITY, RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Inventors:
Jeffrey D. Laskin, Diane E. Heck, Carl J. Lacey, Ned D. Heindel, Sherri C. Young
Abstract: Provided are an ORF7 deficient varicella virus, an vaccine comprising the virus and use thereof, as well as a method for the production the virus.
Type:
Grant
Filed:
January 9, 2018
Date of Patent:
August 25, 2020
Assignees:
Rutgers, the State University of New Jersey, Beijing Wantai Biological Pharmacy Enterprise Co., Ltd., Xiamen University
Abstract: Methods of treating patients with dyskinesias, by administering a therapeutically effective amount of a dual-action ?-opioid receptor antagonist/?-opioid receptor agonists or prodrug thereof to a subject in need thereof, sufficient to mitigate the dyskinesia. Alternatively, a combination of both a ?-opioid receptor antagonist or prodrug thereof, and a ?-opioid receptor agonist or prodrug thereof can be administered, either together or separately.
Type:
Grant
Filed:
March 1, 2018
Date of Patent:
August 11, 2020
Assignee:
Rutgers, The State University of New Jersey
Inventors:
M. Maral Mouradian, Steven Braithwaite, Michael Voronkov
Abstract: Aptamers having a G-quadruplex structure that bind specifically to the most commonly used azole-class antifungal drugs, biosensors that comprise those aptamers, and invitro methods for determining the level of one of those drugs utilizing those aptamers or biosensors.
Type:
Application
Filed:
August 1, 2018
Publication date:
August 6, 2020
Applicant:
Rutgers, The State University of New Jersey
Inventors:
David S. Perlin, Gregory R. Weidman, Yanan Zhao
Abstract: The invention provides complexes of Zn2+ of formulae (la) and (IIa) that are useful for treating cancer, as well as compositions and kits comprising such complexes.
Type:
Grant
Filed:
January 27, 2016
Date of Patent:
August 4, 2020
Assignees:
Rutgers, the State University of New Jersey, The Research Foundation for the State University of New York
Inventors:
David J. Augeri, Anthony F. Bencivenga, Adam Blanden, Darren R. Carpizo, John A. Gilleran, Spencer David Kimball, Stewart N. Loh, Xin Yu
Abstract: The present invention broadly provides different compositions, kits, vectors, and methods including monoclonal antibodies directed to epitopes found within lipoarabinomannan (LAM) and phosphatidyl-myo-inositol mannoside 6 (PIM6) for the diagnosis and treatment of Mycobacterium tuberculosis infections.
Type:
Grant
Filed:
February 1, 2017
Date of Patent:
August 4, 2020
Assignee:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Abstract: Endophytic bacteria, compositions comprising the same, and methods of use thereof are disclosed which increase the root and shoot growth of grass hosts, suppress growth of soil borne fungal pathogens of host plants, increase resistance of the grass to diseases and reduce competitiveness of distantly related competitor weeds of the crop.
Type:
Grant
Filed:
July 21, 2017
Date of Patent:
July 28, 2020
Assignees:
Rutgers, The State University of NJ, United States Geological Survey
Inventors:
James F. White, Jr., Kurt P. Kowalski, Kathryn Kingsley
Abstract: The present invention provides new classes of phenolic compounds derived from hydroxyacids and tyrosol or tyrosol analogues, useful as monomers for preparation of biocompatible polymers, and the biocompatible polymers prepared from these monomeric hydroxyacid-phenolic compounds, including novel biodegradable and/or bioresorbable polymers. These biocompatible polymers or polymer compositions with enhanced bioresorbabilty and processability are useful in a variety of medical applications, such as in medical devices and controlled-release therapeutic formulations. The invention also provides methods for preparing these monomeric hydroxyacid-phenolic compounds and biocompatible polymers.
Type:
Grant
Filed:
June 12, 2019
Date of Patent:
July 21, 2020
Assignees:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY, REVA MEDICAL, INC.
Inventors:
Durgadas Bolikal, Joachim B. Kohn, Lioubov Kabalnova
Abstract: Unpurified or low pure soy phosphatidylserine is used to make cochleates. The cochleates contain about 40-74% soy phosphatidylserine, a multivalent cation and a biological active. A preferred cochleate contains the antifungal agent amphotericin B.
Type:
Grant
Filed:
November 13, 2017
Date of Patent:
July 21, 2020
Assignees:
Matinas BioPharma Nanotechnologies, Inc., Rutgers, The State University of New Jersey
Abstract: New antimicrobials targeting L,D-transpeptidases, non-classical cysteine peptidases, have been developed and their unique chemical structures identified. Carbapenems and penems of the present invention are unique among ?-lactams as they acylate and inhibit L,D-transpeptidases, which likely results in their superior antimicrobial potency. These new antimicrobial agents can be used alone, or in combination with other classic antimicrobial agents that target D,D transpeptidases, when treating bacterial infections.
Type:
Grant
Filed:
January 26, 2017
Date of Patent:
June 30, 2020
Assignees:
The Johns Hopkins University, Rutgers, The State University of New Jersey
Inventors:
Gyanu Lamichhane, Craig A. Townsend, Evan Lloyd, Amit Kaushik, Pankaj Kumar, Joel Freundlich, Shaogang Li, Sean Ekins, Nicole Parrish
Abstract: Disclosed herein are compounds of formula I and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.
Type:
Application
Filed:
May 25, 2018
Publication date:
June 25, 2020
Applicant:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Inventors:
Edmond J. LaVoie, Ajit Parhi, Yi Yuan, Yongzheng Zhang, Yangsheng Sun
Abstract: The invention provides compounds of formula (I): and salts thereof wherein R1-R5 have any of the meanings described in the specification. The compounds are useful for treating bacterial infections (e.g. tuberculosis).
Type:
Application
Filed:
August 29, 2018
Publication date:
June 25, 2020
Applicant:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Inventors:
Joel S. FREUNDLICH, David ALLAND, Matthew B. NEIDITCH, Pradeep KUMAR, Glenn CAPODAGLI, Divya AWASTHI, Sean EKINS
Abstract: Light-emitting devices having an emitting layer containing a light-emitting organic or organometallic material and a nanostructure, the nanostructure having strong local electric fields at visible electromagnetic wavelengths that spectrally and spatially overlap with the light-emitting material. The spectral and spatial overlap of the electric fields of the nanostructure with the light emitting material uses high LDOS provided by the nanostructures to enable excited triplet electronic states in the material to emit light faster than without the nanostructure. This faster light emission from triplet-excited states leads to more stable emission from the light emitting material because it prevents buildup of triplet-excited states, which ordinarily can lead to quenching of light emission from the light emitting material. Among the many different possibilities contemplated, the nanostructure may advantageously be made of a dielectric material or a plasmonic metal material, such as SiO2, TiO2, ZnO, Al or Ag.
Type:
Grant
Filed:
August 2, 2018
Date of Patent:
June 23, 2020
Assignee:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Abstract: A device to detect an object in a medical image is described. An image analysis application, executed by the device, receives the medical image as an input. The medical image is next partitioned to sub-regions. Parts of the object are detected in a selection of the sub-regions using a deep-learning neural network (DNN) model. Bounding boxes for the selection are also determined. The bounding boxes are evaluated based on a confidence score detected as above a threshold level. The confidence score designates the parts as contained within the selection. Next, a region of interest (ROI) is determined as a group including the selection. Similar orientations associated with the bounding boxes are comparable to similar orientations of a positive training model of the DNN model. Furthermore, the selection is designated as the ROI within the medical image. The medical image is provided with the ROI to a user.
Type:
Application
Filed:
December 13, 2018
Publication date:
June 18, 2020
Applicant:
Rutgers, The State University of New Jersey
Inventors:
Christine I. Podilchuk, Richard Mammone
Abstract: Disclosed are cathodes comprising a conductive support substrate having a catalyst coating containing nickel phosphide nanoparticles. The conductive support substrate is capable of incorporating a material to be reduced, such as CO2 or CO. Also disclosed are electrochemical methods for generating hydrocarbon and/or carbohydrate products from CO2 or CO using water as a source of hydrogen.
Type:
Grant
Filed:
October 7, 2016
Date of Patent:
June 9, 2020
Assignee:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Inventors:
G. Charles Dismukes, Anders Laursen, Martha Greenblatt, Karin Calvinho
Abstract: A method of generating a set of examples for explaining decisions made by a machine learning program, involving receiving a set of training data for training the program, and for given subsets of the training data, determining each of (a) a probability of a user correctly inferring a future decision of the program after observing the respective decisions of the program for the given subset of the training data, (b) a suitability of a size of the given subset, and (c) an average probability of the user correctly inferring a future decision of the program after observing the respective decisions of the program for an unspecified subset of the training data. The determinations (a), (b) and (c) are used to score each of the given subsets of training data, and a subset of training data is selected as the generated set of examples based on the scores.
Type:
Application
Filed:
November 27, 2019
Publication date:
June 4, 2020
Applicant:
Rutgers, The State University of New Jersey; Office of Research Commercialization
Inventors:
Patrick Shafto, Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi Sojitra