Patents Assigned to Johns Hopkins University, The
  • Publication number: 20240183784
    Abstract: A surface-enhanced Raman spectroscopy (SERS) substrate, including a substrate base; and a plurality of metal insulator metal (MIM) nanostructures disposed on the substrate base, wherein an average distance between the plurality of MIM nanostructures disposed on the substrate base is from about 1 nm to about 10 nm, and a method of detecting at least one pathogen using the SERS substrate.
    Type: Application
    Filed: April 11, 2022
    Publication date: June 6, 2024
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Kam Sang KWOK, Debadrita PARIA, Ishan BARMAN, David H. GRACIAS
  • Publication number: 20240180646
    Abstract: A computer system, a computer-readable medium, and a computer-implemented method for robot-assisted suturing is disclosed. The computer-implemented method includes determining, by a suture planner algorithm executed by a hardware processor, a desired location for a suture for a potential suture location on a treatment area on a patient and determining which sutures from the suture planner algorithm can be done autonomously and which sutures may require human intervention to be performed.
    Type: Application
    Filed: March 28, 2022
    Publication date: June 6, 2024
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Hamed SAEIDI, Axel KRIEGER, Michael KAM, Simon LEONARD, Justin OPFERMANN
  • Patent number: 11998912
    Abstract: A tubing-free, sample-to-droplet microfluidic system includes a tubing-free, sample-to-droplet microfluidic chip; a valve control system connected to the tubing-free, sample-to-droplet microfluidic chip; a vacuum system fluidly connected to the tubing-free, sample-to-droplet microfluidic chip; and a droplet formation pressure system fluidly connected to the tubing-free, sample-to-droplet microfluidic chip. A microfluidic chip for a tubing-free, sample-to-droplet microfluidic system includes a tubing-free, sample-to-droplet interface section; a droplet mixing section in fluid connection with the tubing-free, sample-to-droplet interface section to received droplets therefrom; an incubation section in fluid connection with the droplet mixing section to receive droplets therefrom; and a detection section in fluid connection with the incubation section to receive droplets therefrom.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: June 4, 2024
    Assignee: The Johns Hopkins University
    Inventors: Tza-Huei Jeff Wang, Kuangwen Hsieh, Yi-Fan Frank Hsieh, Aniruddha Mrithinjay Kaushik, Fangchi Shao, Pengfei Zhang
  • Patent number: 11998609
    Abstract: Disclosed are therapeutic self-assembling molecules including a peptide sequence conjugated to one or more antiviral therapeutics to form a peptide-based antiviral prodrug capable of self-assembly into supramolecular structures with varying morphology in aqueous solutions, which can be injected subcutaneously or intramuscularly for the long-acting treatment of chronic viral infections.
    Type: Grant
    Filed: November 7, 2022
    Date of Patent: June 4, 2024
    Assignee: The Johns Hopkins University
    Inventors: Honggang Cui, Charles Williams Flexner, Maya Monroe, Han Wang
  • Patent number: 11993864
    Abstract: A method for forming a silicon carbide material with a plurality of negatively charged silicon mono-vacancy defects includes irradiating a silicon carbide sample, annealing the irradiated silicon carbide sample in an annealing operation, and quenching the annealed silicon carbide sample. Quenching may include heating the annealed silicon carbide sample to a maximum temperature and quenching the annealed silicon carbide sample to form the silicon carbide sample with the plurality of negatively charged silicon mono-vacancy defects.
    Type: Grant
    Filed: November 2, 2021
    Date of Patent: May 28, 2024
    Assignee: The Johns Hopkins University
    Inventors: John B. Abraham, Brian D. Clader, Robert Osiander, Cameron A. Gutgsell, Dalibor J. Todorovski, Scott A. Sperling, Jacob E. Epstein, Timothy M. Sweeney, Elizabeth A. Pogue, Tyrel M. McQueen
  • Patent number: 11992348
    Abstract: A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: May 28, 2024
    Assignee: The Johns Hopkins University
    Inventors: Mathias Unberath, Jan-Nico Zaech
  • Patent number: 11992015
    Abstract: The present invention relates to the fields of malaria and dengue virus. More specifically, the present invention provides compositions and methods useful for the treatment and prevention of malaria and dengue virus. In particular embodiments, a composition comprises mosquito nectar feed and Chromobacterium sp_Panamam (Csp_P).
    Type: Grant
    Filed: July 29, 2021
    Date of Patent: May 28, 2024
    Assignee: The Johns Hopkins University
    Inventors: George Dimopoulos, Sarah M. Short, Jose L. Ramirez
  • Patent number: 11995516
    Abstract: A qubit device may include a closed loop comprising one or more polycrystalline spin-triplet superconductors. The closed loop may maintain a half-quantum magnetic flux in a ground state. A qubit device may include a closed loop comprising one or more single crystalline spin-triplet superconductors connected by one or more s-wave superconductors. The closed loop may maintain a half-quantum magnetic flux in a ground state.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: May 28, 2024
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Yufan Li, Xiaoying Xu, Chia-Ling Chien
  • Publication number: 20240164738
    Abstract: An angiography system includes a table supporting a subject, configured to: receive, from a 2D X-ray imaging system, contrast-enhanced 2D data of a region of the subject's body, a contrast-enhanced 2D data corresponding to a position and orientation of the X-ray imaging system relative to the region; receive, from a three dimensional (3D) X-ray imaging system, 3D data of the region acquired prior to administration of the contrast agent; generate, from the 3D data, a 2D mask of the region with simulated noncontrast-enhanced 2D data that corresponds to the position and orientation of the X-ray imaging system relative to the region; generate a vasculature image of the region by subtracting the contrast-enhanced 2D data from the 2D mask; and provide the vasculature image on the display.
    Type: Application
    Filed: March 22, 2022
    Publication date: May 23, 2024
    Applicant: The Johns Hopkins University
    Inventors: Jeffrey H. SIEWERDSEN, Alejandro SISNIEGA
  • Patent number: 11987606
    Abstract: The disclosure features compounds comprising an antigen portion, a soluble Major Histocompatibility Complex (MHC) molecule portion (e.g., all or an antigen-binding portion of a soluble MHC class I molecule), and a dynamic anchor portion (e.g., an agent, such as Annexin V, that binds to phosphatidylserine). The featured compounds are useful for a variety of therapeutic applications, including, e.g., enhancing a T cell response to an antigen of interest or enhancing a T cell-driven immune response by a subject to an antigen of interest (e.g., a cancer antigen or a microbial antigen).
    Type: Grant
    Filed: March 4, 2016
    Date of Patent: May 21, 2024
    Assignee: The Johns Hopkins University
    Inventors: Tzyy-Choou Wu, Chih-Ping Mao, Chien-Fu Hung
  • Patent number: 11986538
    Abstract: The presently disclosed subject matter relates to immunoswitch particles that switch off immunosuppressive pathways on tumor cells or immunosuppressive molecules induced by tumor cells in the tumor microenvironment, or virus infected cells or immunosuppressive molecules induced by virus infected cells in the microenvironment surrounding the virus infected cells, while simultaneously switching on co-stimulatory or co-inhibitory pathways on T cells, as well as method for converting immunosuppressive signals in cells, tissues, and subjects into stimulatory signals, and immunotherapy-based methods for treating cancer and chronic viral infections.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: May 21, 2024
    Assignee: The Johns Hopkins University
    Inventors: Alyssa K. Kosmides, Jonathan P. Schneck
  • Publication number: 20240161652
    Abstract: A method includes determining one or more metrics of a surgical task being performed by a surgeon based at least partially upon a type of the surgical task being performed and a video of the surgical task being performed. The method also includes determining a surgical skill of the surgeon during the surgical task based at least partially upon the video, the one or more metrics, or a combination thereof.
    Type: Application
    Filed: March 22, 2022
    Publication date: May 16, 2024
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Satyanarayana S. VEDULA, Shameema SIKDER, Gregory D. HAGER, Tae Soo KIM, Chien-Ming HUANG, Anand MALPANI, Kristen H. PARK, Bohua WAN
  • Publication number: 20240162112
    Abstract: Example superlattice structures and methods for thermoelectric devices are provided. An example structure may include a plurality of superlattice periods. Each superlattice period may include a first material layer disposed adjacent to a second material layer. For each superlattice period, the first material layer may be formed of a first material and the second material layer may be formed of a second material. The plurality of superlattice periods may include a first superlattice period and a second superlattice period. A thickness of a first material layer of the first superlattice period may be different than a thickness of a first material layer of the second superlattice period.
    Type: Application
    Filed: January 26, 2024
    Publication date: May 16, 2024
    Applicant: The Johns Hopkins University
    Inventors: Rama Venkatasubramanian, Jonathan M. Pierce, Dezsi Geza
  • Patent number: 11980534
    Abstract: One aspect of the invention provides a three-dimensional scaffold including at least one layer of highly-aligned fibers. The at least one layer of highly-aligned fibers is curved in a direction substantially perpendicular to a general direction of the fibers. Another aspect of the invention provides a method for fabricating a three-dimensional scaffold. The method includes: electro spinning a plurality of fibers to produce at least one layer of highly-aligned fibers and forming the at least one layer of highly-aligned fibers into a three-dimensional scaffold without disturbing the alignment of the highly-aligned polymer fibers. A further aspect of the invention provides methods for using a three-dimensional scaffold to treat nerve or spinal cord injury.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: May 14, 2024
    Assignees: Rensselaer Polytechnic Institute, Johns Hopkins University
    Inventors: Andres Hurtado, Ryan James Gilbert, Han Bing Wang, Jared M. Cregg, Michael E. Mullins, Martin Oudega
  • Patent number: 11981957
    Abstract: Biomarkers relevant to neurons in the brain, in particular at single cell levels, are identified by using olfactory neurons as the best surrogates from subjects so as to establish diagnosis, prognosis, and treatment of brain conditions.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: May 14, 2024
    Assignee: The Johns Hopkins University
    Inventors: Akira Sawa, Koko Ishizuka, YeeWen Candace Wu, Youjin Chung, Nao J. Gamo
  • Patent number: 11981919
    Abstract: The present invention relates to the field of stem cells. More specifically, the invention provides methods and compositions useful for forming three-dimensional human retinal tissue in vitro. In a specific embodiment, an in vitro method for differentiating hiPSCs into three-dimensional retinal tissue comprising functional photoreceptors comprises the steps of (a) culturing the hiPSCs to form aggregates; (b) transitioning the aggregates into a neural induction medium; (c) seeding the aggregates on to extracellular matrix coated cell culture substrates; (d) replacing NIM with a chemically-defined differentiation medium; (e) detaching NR domains; (f) culturing in suspension; and (g) adding animal serum or plasma component and retinoic acid.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: May 14, 2024
    Assignee: The John Hopkins University
    Inventors: Maria Valeria Canto-Soler, Xiufeng Zhong
  • Patent number: 11981754
    Abstract: Mimetic peptides having anti-angiogenic and anti-tumorigenic properties and methods of their use for treating cancer, ocular diseases, such as age-related macular degeneration, and other-angiogenesis-dependent diseases are disclosed, More particularly, an isolated peptide comprising the amino acid sequence LRRFSTAPFAFIDINDVINF, which exhibits anti-angiogenic activity in endothelial cell proliferation, migration, adhesion, and tube formation assays, anti-migratory activity in human breast cancer cells in vitro, anti-angiogenic and anti-tumorigenic activity in vivo in breast cancer xenograft models, and age-related macular degeneration models is disclosed. The isolate peptide also exhibits anti-lymphangiogenic and directly anti-tumorigenic properties.
    Type: Grant
    Filed: August 10, 2020
    Date of Patent: May 14, 2024
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Aleksander S. Popel, Niranjan B. Pandey, Esak Lee, Jordan J. Green, Ron B. Shmueli
  • Patent number: 11975199
    Abstract: A device may receive, from one or more electrodes, information identifying brain activity for a first time period. The device may predict, based on the information identifying the brain activity for the first time period, predicted brain activity for a second time period that is to occur after the first time period. The device may determine, based on the predicted brain activity for the second time period, a brain stimulus for the second time period, wherein the brain stimulus is associated with a frequency and a phase determined based on the predicted brain activity for the second time period. The device may cause the brain stimulus to be applied in accordance with the frequency and the phase during the second time period.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: May 7, 2024
    Assignee: The Johns Hopkins University
    Inventors: William S. Anderson, Yousef Salimpour, L. Leon Chen, Kelly Mills
  • Patent number: 11977084
    Abstract: The inventors surprisingly found that neural stimulation caused the synthesis and degradation of proteins into peptides which were then secreted into the cell media within minutes of stimulation by a novel neural-specific and membrane bound proteasome (neuronal membrane proteasome or NMP) that is transmembrane in nature. These secreted, activity-induced, proteasomal peptides (SNAPPs) range in size from about 500 Daltons to about 3000 Daltons. Surprisingly none of the peptides appear to be those previously known to have any neuronal function. Moreover, these SNAPPs have stimulatory activity and are heretofore a new class of signaling molecules. Moreover, the NMP appears to play a highly significant role in aspects of neuronal signaling known to be critical for neuronal function.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: May 7, 2024
    Assignee: The Johns Hopkins University
    Inventors: Seth S. Margolis, Kapil V. Ramachandran
  • Publication number: 20240143970
    Abstract: Some embodiments provide a method of predicting a state of a system that is represented by a partial differential equation. The method comprises training a neural network for an initial state of said system to obtain a set of neural network parameters to provide a spatial representation of said system at an initial time. The method further comprises modifying said parameters for intermediate times between said initial time and a prediction time such that each modified set of parameters is used to provide a respective spatial representation of said system at each corresponding intermediate time using said neural network. The method further comprises modifying said set of parameters to provide a prediction set of parameters that is used to provide a predicted spatial representation of said system at said prediction time using said neural network.
    Type: Application
    Filed: March 8, 2022
    Publication date: May 2, 2024
    Applicant: The Johns Hopkins University
    Inventors: Tamer ZAKI, Yifan DU