Patents Assigned to Johns Hopkins University
  • 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
  • Patent number: 11823900
    Abstract: A method for printing a semiconductor material includes depositing a molten metal onto a substrate in an enclosed chamber to form a trace having a maximum height of 15 micrometers and/or a maximum width of 25 micrometers to 10 millimeters and/or a thin film having a maximum height of 15 micrometers. The method further includes reacting the molten metal with a gas phase species in the enclosed chamber to form the semiconductor material. The depositing the molten metal includes depositing a metal composition including the molten metal and an etchant or depositing the etchant separate from the molten metal in the enclosed chamber.
    Type: Grant
    Filed: June 4, 2021
    Date of Patent: November 21, 2023
    Assignee: The Johns Hopkins University
    Inventors: Jarod C. Gagnon, Michael J. Presley, Steven M. Storck, Jeffrey P. Maranchi, Korine A. Ohiri, Scott A. Shuler
  • Patent number: 11821775
    Abstract: A mass flow meter includes an arcuate tube section that is semi-circular, an inner pressure sensor disposed on an inner curvature portion of the arcuate tube section and configured to capture an inner pressure measurement of the flowing fluid, an outer pressure sensor disposed on an outer curvature portion of the arcuate tube section and configured to capture an outer pressure measurement of the flowing fluid, and processing circuitry. The processing circuitry may be configured to receive the inner pressure measurement and the outer pressure measurement, determine a pressure difference between the inner pressure measurement and the outer pressure measurement, and determine a mass flow rate of the flowing fluid passing through the arcuate tube section based on the pressure difference and a fluid density of the flowing fluid.
    Type: Grant
    Filed: March 10, 2022
    Date of Patent: November 21, 2023
    Assignee: The Johns Hopkins University
    Inventor: Jonathan P. Jones
  • Patent number: 11819481
    Abstract: The present invention provides compositions and methods for treating hypertension and obstructive sleep apnea utilizing hydrogel compositions comprising drug amphiphiles with TRPM 7 antagonists for use in a subject, including use on the carotid body of a subject.
    Type: Grant
    Filed: January 24, 2022
    Date of Patent: November 21, 2023
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Vsevolod Polotsky, Honggang Cui, Roxana Elena Mitrut, Mi-kyung Shin
  • Publication number: 20230363689
    Abstract: Intraprocedural techniques for identifying a location of an origin of an idiopathic ventricular arrhythmia in a patient are presented.
    Type: Application
    Filed: August 5, 2021
    Publication date: November 16, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia TRAYANOVA, Shijie A. ZHOU, Jonathan CHRISPIN, John SAPP, Amir ABDELWAHAB
  • Publication number: 20230363711
    Abstract: A patient monitoring and/or treatment system and method is disclosed. The system includes a wearable device configured to be wearable on an external portion of a patient. The wearable device configured to monitor and/or treat a biological feature of the patient, the wearable device including: one or more ultrasonic transmitters that provide ultrasonic energy to a monitoring site and/or a treatment site of the patient; one or more ultrasonic receivers that receive reflected ultrasonic energy from the monitoring site and/or the treatment site; and a controller that controls the one or more ultrasonic transmitter and the one or more ultrasonic receivers and determines an attribute of the biological feature based on the ultrasonic energy that is provided and the ultrasonic energy that is received.
    Type: Application
    Filed: October 6, 2021
    Publication date: November 16, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Nicholas THEODORE, Amir MANBACHI