Patents Assigned to The Johns Hopkins University
  • Publication number: 20230412970
    Abstract: An acoustic transducer includes a first layer including an elastomer, An acoustic impedance of the first layer substantially matches an acoustic impedance of a medium that the transducer is configured to monitor. The transducer also includes a second layer including an electrode. The transducer also includes a third layer including a polymer. The second layer is positioned at least partially between the first layer and the third layer.
    Type: Application
    Filed: October 8, 2021
    Publication date: December 21, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: James Edward WEST, Valerie RENNOLL, Adebayo Ayoola EISAPE, II, Ian MCLANE, Mounya ELHILALI
  • Patent number: 11844798
    Abstract: The invention provides compositions and methods for the induction of cell death, for example, cancer cell death. Combinations of compounds and related methods of use are disclosed, including the use of compounds in therapy for the treatment of cancer and selective induction of apoptosis in cells. The disclosed drug combinations can have lower neurotoxicity effects than other compounds and combinations of compounds.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: December 19, 2023
    Assignees: The Board of Trustees of the University of Illinois, Vanquish Oncology, Inc., The Johns Hopkins University
    Inventors: Paul J. Hergenrother, Rachel C. Botham, Timothy M. Fan, Mark J. Gilbert, Michael K. Handley, Avadhut Joshi, Gregory J. Riggins, Theodore M. Tarasow
  • Patent number: 11845994
    Abstract: Recent large-scale analyses have demonstrated that the genomic landscape of human cancer is complex and variable among individuals of the same tumor type. Such underlying genetic differences may in part be responsible for the varying therapeutic responses observed in cancer patients. To examine the effect of somatic genetic changes in colorectal cancer on sensitivity to a common targeted therapy, we performed complete exome sequence and copy number analyses of 129 tumors that were KRAS wild-type and analyzed their response to anti-EGFR antibody blockade in patient-derived tumorgraft models. In addition to previously identified genes, we detected mutations in ERBB2, EGFR, FGFR1, PDGFRA, and MAP2K1 as potential mechanisms of primary resistance to this therapy. Alterations in the ectodomain of EGFR were identified in patients with acquired resistance to EGFR blockade.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: December 19, 2023
    Assignees: The Johns Hopkins University, University of Torino
    Inventors: Victor E. Velculescu, Eniko Papp, Vilmos Adleff, Andrea Bertotti, Livio Trusolino
  • Publication number: 20230402584
    Abstract: Disclosed herein is a battery anode compound including a metal oxide and a metal. Also disclosed herein is a method of providing a battery anode compound comprising synthesizing AlNb11O29 and combining AlNb11O29 and a metal. A Li-ion battery anode compound is also disclosed that includes a slurry comprising up to 70% AlNb11O29, up to 70% Li4Ti5O12, and up to 70% of a metal, wherein the metal is any one of Sb or Sn.
    Type: Application
    Filed: June 13, 2023
    Publication date: December 14, 2023
    Applicant: The Johns Hopkins University
    Inventors: Jesse S. Ko, Konstantinos Gerasopoulos, Matthew W. Logan
  • Publication number: 20230399698
    Abstract: The present disclosure relates to measuring gene expression of cells of a blood sample obtained from a mammalian subject suspected of having a tick-borne disease. In particular, the present disclosure provides tools for determining whether a human subject has acute Lyme disease by transcriptome profiling a peripheral blood mononuclear cell sample from the subject.
    Type: Application
    Filed: June 9, 2023
    Publication date: December 14, 2023
    Applicants: The Regents of the University of California, The Johns Hopkins University
    Inventors: Charles Y. CHIU, Jerome BOUQUET, Mark J. SOLOSKI, John N. AUCOTT
  • Patent number: 11841363
    Abstract: The present invention describes methods of identifying drugs for the treatment or prevention of diabetes by measuring the activity of the human zinc transporter ZnT8 and pharmaceutical compositions.
    Type: Grant
    Filed: April 28, 2021
    Date of Patent: December 12, 2023
    Assignee: The Johns Hopkins University
    Inventor: Dax Fu
  • Patent number: 11839360
    Abstract: The present disclosure relates generally to fluorescent imaging devices, systems, and methods for an endoscopic procedure, and in particular, indocyanine green (ICG) fluorescence. In some embodiments, a device for fluorescent imaging during an endoscopic procedure may include an attachment connectable to a distal end of an endoscope. The attachment may include a first filter alignable with a light source of the endoscope, and a second filter alignable with an imaging device of the endoscope. The first filter may be positionable such that in a first position the first filter is aligned with the light source, and in a second position the first filter is out of alignment with the light source. The second filter may be positionable such that in a first position the second filter is aligned with the imaging device, and in a second position the second filter is out of alignment with the imaging device.
    Type: Grant
    Filed: January 4, 2019
    Date of Patent: December 12, 2023
    Assignees: Boston Scientific Scimed, Inc., The Johns Hopkins University
    Inventors: Sritam P. Rout, Marc Chelala, Maria F. Torres, Kyle R. Cowdrick, Amir Hossein Soltanianzadeh, David M. Gullotti, Pankaj J. Pasricha, Nicholas J. Durr, Ryan V. Wales
  • Publication number: 20230390587
    Abstract: An x-ray irradiation system includes a first x-ray tube constructed and arranged to be able to irradiate an object with at least a portion of a first x-ray beam emitted from the first x-ray tube, and a second x-ray tube constructed and arranged to be able to irradiate the object with at least a portion of a second x-ray beam emitted from said second x-ray tube simultaneously with said first x-ray beam. The first and second x-ray tubes are arranged such that the first and second x-ray beams are incident on, and intersect within, the object at respective first and second oblique angles to define a target volume such that a dose rate is substantially uniform as prescribed within said target volume.
    Type: Application
    Filed: October 15, 2021
    Publication date: December 7, 2023
    Applicant: The Johns Hopkins University
    Inventors: John Wai-Chiu WONG, Mohammad REZAEE, Iulian IORDACHITA
  • Publication number: 20230394670
    Abstract: Fully automated computer-implemented deep learning techniques of contrast-enhanced cardiac MRI segmentation are provided. The techniques may include providing cardiac MRI data to a first computer-implemented deep learning network trained in order to identify a left ventricle region of interest to generate left ventricle region-of-interest-identified cardiac MRI data. The techniques may also include providing the left ventricle region-of-interest-identified cardiac MRI data to a second computer-implemented deep learning network trained in order to identify myocardium to generate myocardium-identified cardiac MRI data. The techniques may further include providing the myocardium-identified cardiac MRI data to at least one third computer-implemented deep learning network trained to conform data to geometrical anatomical constraints in order to generate anatomical-conforming myocardium-identified cardiac MRI data.
    Type: Application
    Filed: October 19, 2021
    Publication date: December 7, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. TRAYANOVA, Haley Gilbert ABRAMSON, Dan POPESCU, Mauro MAGGIONI, Katherine C. WU
  • Patent number: 11832969
    Abstract: An embodiment according to the present invention includes a method for a machine-learning based approach to the formation of ultrasound and photoacoustic images. The machine-learning approach is used to reduce or remove artifacts to create a new type of high-contrast, high-resolution, artifact-free image. The method of the present invention uses convolutional neural networks (CNNs) to determine target locations to replace the geometry-based beamforming that is currently used. The approach is extendable to any application where beamforming is required, such as radar or seismography.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: December 5, 2023
    Assignee: The Johns Hopkins University
    Inventors: Muyinatu Bell, Austin Reiter
  • Patent number: 11834401
    Abstract: Described are methods of treating or preventing a disease in a subject treatable by modulating cell mechanics. The method includes administering to a subject having or at risk for such a disease a pharmaceutical composition.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: December 5, 2023
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Douglas Robinson, Alexandra Surcel, Win Pin Ng, Caren L. Freel Meyers
  • Patent number: 11828741
    Abstract: A sensor includes a first sensing element electronically sensitive to an analyte and to an interfering stimulus. The first sensing element provides a first electrical signal in response to a presence of the analyte and/or the interfering stimulus. The sensor also includes a second sensing element electronically sensitive to the analyte and to the interfering stimulus. The second sensing element provides a second electrical signal in response to the presence of the analyte and/or the interfering stimulus. A conductive link electrically connects the first sensing mechanism and the second sensing mechanism. An electrical property is measured within the sensor that is indicative of a concentration of the analyte based on the first electrical signal and the second electrical signal.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: November 28, 2023
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Howard Edan Katz, Yingli Chu, Hui Li, Tushita Mukhopadhyaya, Justine Wagner, Huidong Fan
  • Patent number: 11826280
    Abstract: Lacrimal canalicular delivery systems (LCDS) and their methods of use for the delivery of implants at a specific location into the canaliculus of a subject generally include a lumen, a guide wire, and an implant. The guide wire and implant are within the lumen. When pressure is applied to the guide wire, the guide wire pushes the implant out of the lumen into a specific location into the canaliculus of a subject.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: November 28, 2023
    Assignee: The Johns Hopkins University
    Inventors: Bradley P. Barnett, Albert S. Jun
  • Patent number: 11827663
    Abstract: Disclosed are UAP inhibitors to inhibit glucose flux in the hexosamine biosynthetic pathway and methods of treating a disease using the inhibitors.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: November 28, 2023
    Assignee: The Johns Hopkins University
    Inventors: Kevin J. Yarema, Christopher T. Saeui, Alfredo Quinones-Hinojosa, Sagar Ramesh Shah
  • Patent number: 11829503
    Abstract: A term-based encrypted retrieval privacy (TERP) data retrieval system performs data retrieval from a data repository server. The system includes a client processor included with a data requesting client and a server processor included with the data repository server. The client processor determines a vector forest that is shared with the data repository server, which includes forest vectors assigned with a respective vector ID, and generates a query including an encrypted ciphertext table that cross-references the vector IDs with a corresponding ciphertext entry. The server processor receives the query, and selects a given document from the data repository server that has assigned thereto at least one nearest neighbor vector among the forest vectors. The server processor compares a nearest neighbor vector ID of the nearest neighbor vector to the vector IDs included in the encrypted ciphertext table, and generates an encoded search result based on the encrypted ciphertext entries.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: November 28, 2023
    Assignee: The Johns Hopkins University
    Inventors: Russell A. Fink, David R. Zaret, Paul McNamee
  • Publication number: 20230378573
    Abstract: Disclosed herein is an electronic device encapsulation including a non-permeable coating and at least one pair of leads coupled to an electronic device protruding from the non-permeable coating. Also disclosed herein is a method of encapsulating an electronic device including attaching at least a pair of electric leads to the device, coating the device and a portion of each lead with a non-permeable coating, and curing the non-permeable coating. Further disclosed is an encapsulated system including a device, at least one pair of leads coupled to the device configured to extend from the device and attach to an exterior system, and a non-permeable coating configured to provide a vapor barrier surrounding the device and to provide an exposed portion of the pair of leads.
    Type: Application
    Filed: May 23, 2023
    Publication date: November 23, 2023
    Applicant: The Johns Hopkins University
    Inventors: Nicholas G. Pavlopoulos, Jason E. Tiffany, Spencer A. Langevin
  • Publication number: 20230371901
    Abstract: Provided herein are medical devices, systems, and methods for monitoring and treating injuries, diseases, or other conditions in patients. The medical devices include body structures that comprise an imaging array, a stimulation array, and an electrode array. The medical devices are implantable in patients in some embodiments.
    Type: Application
    Filed: October 6, 2021
    Publication date: November 23, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Amir MANBACHI, Nicholas THEODORE, George L. COLES, Ana M. AINECHI, Sandeep KAMBHAMPATI
  • Publication number: 20230372685
    Abstract: An implant includes a cannula. The cannula defines an axial drainage bore and a plurality of radial openings providing a path of fluid communication between an exterior of the cannula and the axial drainage bore to drain fluid. The implant also includes a first sensor positioned at least partially in the cannula. The first sensor is configured to measure a biomarker in the fluid. The implant also includes a second sensor positioned at least partially in the cannula. The second sensor is configured to measure a pressure of the fluid. The implant also includes a third sensor positioned at least partially in the cannula. The third sensor is configured to measure a temperature of the fluid.
    Type: Application
    Filed: October 6, 2021
    Publication date: November 23, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Amir MANBACHI, Nicholas THEODORE, George L. COLES, Jeffrey Maxwell KALTER, Steven Michael BABIN, Francesco Vincenzo Gualtiero TENORE, Austin James DEVINNEY, Paul Robert SCHUSTER
  • Publication number: 20230371824
    Abstract: In one example aspect, a computer-implemented method includes receiving biometrics data for a user; determining, based on the biometrics data, a baseline root-mean square (RMS) value prior to performance of a medical maneuver by the user; determining a minimum RMS value of the biometrics data during the medical maneuver; calculating a ratio between the minimum RMS value and the baseline RMS value to generate a minimum RMS ratio; and storing or outputting the minimum RMS ratio.
    Type: Application
    Filed: October 12, 2021
    Publication date: November 23, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventor: Harry A. SILBER
  • Publication number: 20230374593
    Abstract: The present invention relates to methods of detecting novel mutations in a PKD1 and/or PKD2 gene that have been determined to be associated with autosomal dominant polycystic kidney disease (ADPKD) in order to detect or predict the occurrence of ADPKD in an individual.
    Type: Application
    Filed: April 5, 2023
    Publication date: November 23, 2023
    Applicants: Athena Diagnostics, Inc., The Johns Hopkins University
    Inventors: Terry J. Watnick, Miguel Garcia-Gonzales, Gregory G. Germino, Jeffery G. Jones