Patents by Inventor Ron Weiss

Ron Weiss has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220298509
    Abstract: Provided herein are sequestrons for detecting an miRNA profile indicative of a cell state and expressing an output molecule in cells having such an miRNA profile. Also provided are methods of using sequestrons provided herein.
    Type: Application
    Filed: March 22, 2022
    Publication date: September 22, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Deepak Mishra, Erez Pery, Wenlong Xu, Lei Wang
  • Publication number: 20220282334
    Abstract: Provided herein are genetic circuits and cell state classifiers for detecting the microRNA profile of a cell. The cell state classifiers of the present disclosure are designed to incorporate multiple genetic circuits integrated together by transcriptional or translational control. Multiple inputs can be sensed simultaneously by coupling their detection to different portions of the genetic circuit such that the output molecule is produced only when the correct input profile of miRNAs is detected. The genetic circuits and cell state classifiers may be used in various applications (e.g., therapeutic or diagnostic applications).
    Type: Application
    Filed: March 8, 2022
    Publication date: September 8, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Jin Huh
  • Publication number: 20220246132
    Abstract: A method of generating diverse and natural text-to-speech (TTS) samples includes receiving a text and generating a speech sample based on the text using a TTS model. A training process trains the TTS model to generate the speech sample by receiving training samples. Each training sample includes a spectrogram and a training text corresponding to the spectrogram. For each training sample, the training process identifies speech units associated with the training text. For each speech unit, the training process generates a speech embedding, aligns the speech embedding with a portion of the spectrogram, extracts a latent feature from the aligned portion of the spectrogram, and assigns a quantized embedding to the latent feature. The training process generates the speech sample by decoding a concatenation of the speech embeddings and a quantized embeddings for the speech units associated with the training text corresponding to the spectrogram.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 4, 2022
    Applicant: Google LLC
    Inventors: Yu Zhang, Bhuvana Ramabhadran, Andrew Rosenberg, Yonghui Wu, Byungha Chun, Ron Weiss, Yuan Cao
  • Publication number: 20220202921
    Abstract: Disclosed herein are polynucleotides encoding multi-epitope polypeptides and assemblies thereof, and their use for treating or limiting Toxoplasma gondii infection.
    Type: Application
    Filed: March 11, 2022
    Publication date: June 30, 2022
    Inventors: Rima MCLEOD, Kamal EL BISSATI, Ying ZHOU, Jeff ALEXANDER, Steve REED, Peter BURKHARD, Mariane MELO, Darrel IRVINE, Ron WEISS, Yuan ZHANG
  • Patent number: 11359247
    Abstract: Provided herein are genetic circuits and cell state classifiers for detecting the microRNA profile of a cell. The cell state classifiers of the present disclosure are designed to incorporate multiple genetic circuits integrated together by transcriptional or translational control. Multiple inputs can be sensed simultaneously by coupling their detection to different portions of the genetic circuit such that the output molecule is produced only when the correct input profile of miRNAs is detected. The genetic circuits and cell state classifiers may be used in various applications (e.g., therapeutic or diagnostic applications).
    Type: Grant
    Filed: July 31, 2017
    Date of Patent: June 14, 2022
    Assignee: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Jin Huh
  • Patent number: 11351271
    Abstract: Engineered synthetic RNA-based genetic circuits are provided that are regulated exclusively at the post-transcriptional level.
    Type: Grant
    Filed: September 8, 2015
    Date of Patent: June 7, 2022
    Assignees: Massachusetts Institute of Technology, Kyoto University
    Inventors: Ron Weiss, Liliana Wroblewska, Velia Siciliano, Tasuku Kitada, Maria Hottelet Foley, Katie Bodner, Hirohide Saito, Kei Endo, Darrell J. Irvine, Tyler Wagner, Jacob Becraft
  • Patent number: 11339395
    Abstract: Provided herein are genetic circuits and cell state classifiers for detecting the microRNA profile of a cell. In some embodiments, the cell state classifiers described herein utilize an endoribonuclease and a self-amplifying RNA molecule for controlling the expression of an output molecule. In some embodiments, the cell state classifiers described herein are encoded on a single RNA transcript, which is then processed to produce individual genetic circuits that function independently. The genetic circuits and cell state classifiers described herein may be used in various applications (e.g., therapeutic or diagnostic applications).
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: May 24, 2022
    Assignee: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Kevin J. Lebo, Jin Huh
  • Publication number: 20220148582
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural network adaptive beamforming for multichannel speech recognition are disclosed. In one aspect, a method includes the actions of receiving a first channel of audio data corresponding to an utterance and a second channel of audio data corresponding to the utterance. The actions further include generating a first set of filter parameters for a first filter based on the first channel of audio data and the second channel of audio data and a second set of filter parameters for a second filter based on the first channel of audio data and the second channel of audio data. The actions further include generating a single combined channel of audio data. The actions further include inputting the audio data to a neural network. The actions further include providing a transcription for the utterance.
    Type: Application
    Filed: January 26, 2022
    Publication date: May 12, 2022
    Applicant: Google LLC
    Inventors: Bo Li, Ron Weiss, Michiel A.U. Bacchiani, Tara N. Sainath, Kevin William Wilson
  • Publication number: 20220111033
    Abstract: Compositions and methods are described for inducing an immune response against an immunogen in humans. The induced immune response is obtained by administering a heterologous prime-boost combination of an in vitro transcribed (IVT) self-replicating RNA (repRNA) and an adenovirus vector. The compositions and methods can be used to provide a protective immunity against a disease, such as a viral infection or a cancer, in humans.
    Type: Application
    Filed: December 22, 2021
    Publication date: April 14, 2022
    Inventors: Ronald Vogels, Marijn Van Der Neut Kolfschoten, Darrell Irvine, Ron Weiss, Ely Porter, Mariane Bandeira Melo, Tasuku Kitada
  • Patent number: 11235051
    Abstract: Compositions and methods are described for inducing an immune response against an immunogen in humans. The induced immune response is obtained by administering a heterologous prime-boost combination of an in vitro transcribed (IVT) self-replicating RNA (repRNA) and an adenovirus vector. The compositions and methods can be used to provide a protective immunity against a disease, such as a viral infection or a cancer, in humans.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: February 1, 2022
    Assignees: Janssen Vaccines & Prevention B.V., Massachusetts Institute of Technology
    Inventors: Ronald Vogels, Marijn Van Der Neut Kolfschoten, Darrell J. Irvine, Ron Weiss, Ely Blanton Porter, Mariane Bandeira Melo, Tasuku Kitada
  • Publication number: 20220016191
    Abstract: Disclosed herein are genetically modified herpesviruses for the treatment of cancer. Also provided are methods of treating cancer using genetically modified herpesviruses.
    Type: Application
    Filed: May 14, 2021
    Publication date: January 20, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Jin Huh, Yingzhong Li
  • Publication number: 20210395732
    Abstract: The present disclosure, at least in part, relates to an engineered RNA (e.g., microRNA and sgRNA), in the absence of an input signal, that is engineered to have a large enough energy gap between the formations of a first secondary structure, which is unrecognizable by an actuator, and a second secondary structure, which is recognizable by an actuator (e.g., Drosha and Cas protein).
    Type: Application
    Filed: September 25, 2020
    Publication date: December 23, 2021
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Giulio Alighieri
  • Publication number: 20210324413
    Abstract: Genetic circuits have been developed to regulate behaviors of replicon RNA in responses to small molecules, which has broader applications, such as for quantitative expression of cargo genes, temporary expression of immunomodulatory cytokines or antigens for better cancer immunotherapy or vaccination, and for increased safety in use of self-replicating vectors or in combination with other viral-delivery vectors. Described herein are genetic circuits suitable for systems that either require a tight off state or a slow off state, which can serve for instance where either a kill switch or prolonged protein expression (e.g., of vaccine antigens) are needed.
    Type: Application
    Filed: April 15, 2021
    Publication date: October 21, 2021
    Applicant: Massachusetts Institute of Technology
    Inventors: Darrell J. Irvine, Ron Weiss, Yingzhong Li, Jan Lonzaric, Parisa Yousefpour
  • Publication number: 20210324414
    Abstract: This disclosure provides engineered genetic systems for sequestering and/or destroying viruses, compositions and cells comprising the genetic systems, and methods of treating viral infections, reducing viral load, and/or reducing viral spread. The disclosure also provides libraries comprising elements to be incorporated into the engineered genetic systems.
    Type: Application
    Filed: April 16, 2021
    Publication date: October 21, 2021
    Applicants: Massachusetts Institute of Technology, University of Massachusetts
    Inventors: Ron Weiss, Jin Huh, Yingzhong Li, Eric Goldstein, Hava Siegelmann
  • Publication number: 20210292784
    Abstract: The present disclosure, at least in part, relates to an engineered incoherent feed forward loop (iFFL) comprising a first transcription unit encoding an endoribonuclease and a second transcription unit encoding an output molecule and an endoribonuclease target site located in the 5? UTR of the output molecule coding sequence. The engineered iFFL, at least in part, can be used for sustained expression of an output molecule despite of transcription resource disturbance in a given environment.
    Type: Application
    Filed: January 20, 2021
    Publication date: September 23, 2021
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Ross D. Jones, Breanna E. DiAndreth, Domitilla Del Vecchio, Yili Qian
  • Publication number: 20210246439
    Abstract: The present disclosure, at least in part, provides RNA cleavage based engineered bi-stable toggle switch utilizing the Programmable Endonucleolytic Scission-Induced Stability Tuning (PERSIST) platform. Also provided herein, are vectors encoding the engineered bi-stable toggle switch, and uses thereof.
    Type: Application
    Filed: December 15, 2020
    Publication date: August 12, 2021
    Applicant: Massachusetts Institute of Technology
    Inventors: Ron Weiss, Breanna E. DiAndreth, Noreen Wauford
  • Publication number: 20210225362
    Abstract: A method includes receiving a training example for a listen-attend-spell (LAS) decoder of a two-pass streaming neural network model and determining whether the training example corresponds to a supervised audio-text pair or an unpaired text sequence. When the training example corresponds to an unpaired text sequence, the method also includes determining a cross entropy loss based on a log probability associated with a context vector of the training example. The method also includes updating the LAS decoder and the context vector based on the determined cross entropy loss.
    Type: Application
    Filed: January 21, 2021
    Publication date: July 22, 2021
    Applicant: Google LLC
    Inventors: Tara N. Sainath, Ruorning Pang, Ron Weiss, Yanzhang He, Chung-Cheng Chiu, Trevor Strohman
  • Publication number: 20210209315
    Abstract: The present disclosure provides systems and methods that train and use machine-learned models such as, for example, sequence-to-sequence models, to perform direct and text-free speech-to-speech translation. In particular, aspects of the present disclosure provide an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an intermediate text representation.
    Type: Application
    Filed: March 7, 2020
    Publication date: July 8, 2021
    Inventors: Ye Jia, Zhifeng Chen, Yonghui Wu, Melvin Johnson, Fadi Biadsy, Ron Weiss, Wolfgang Macherey
  • Patent number: 11026894
    Abstract: Disclosed herein are lipid nanoparticles comprising 1,2-dioleoyl-3-trimethylammonium propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC), cholesterol, and 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[amino(polyethylene glycol)-2000](DSPE-PEG2000), compositions including such lipid nanoparticles, and methods of treatment using such lipid nanoparticles and compositions.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: June 8, 2021
    Assignee: Massachusetts Institute of Technology
    Inventors: Darrell J. Irvine, Ron Weiss, Tasuku Kitada, Mariane Melo, Yuan Zhang
  • Publication number: 20210115413
    Abstract: Disclosed herein are methods of generating proteoglycans with distinct glycan structures in engineered, non-naturally occurring eukaryotic cells. These methods make accessible a dynamic range of protein glycosylation. Compositions of engineered, non-naturally occurring cells capable of generating these proteoglycans are also disclosed herein.
    Type: Application
    Filed: June 20, 2019
    Publication date: April 22, 2021
    Applicants: Massachusetts Institute of Technology, Pfizer Inc.
    Inventors: Michelle Chang, Leonid A. Gaydukov, Giyoung Jung, Nevin M. Summers, Timothy Kuan-Ta Lu, Ron Weiss, John Scarcelli, Richard Cornell, Jeffrey Marshall, Bruno Figueroa, Wen Allen Tseng