Patents by Inventor James Xu

James Xu 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: 20250042922
    Abstract: Provided herein are compounds, and pharmaceutically acceptable salts thereof, useful as KRAS inhibitors, methods of making and using the same (singly or in combination with additional agents), and pharmaceutical compositions thereof.
    Type: Application
    Filed: June 27, 2024
    Publication date: February 6, 2025
    Inventors: Chaodi Dai, Julie Farand, Juan A. Guerrero, Tezcan Guney, Hongyan Guo, Jason R. Hudlicky, Darryl Kato, Irene N. Kiburu, Scott E. Lazerwith, Paulo A. Machicao Tello, James B.C. Mack, Erik P. McAuley, Jessica L. McKinley, Jonathan William Medley, Hyung-Jung Pyun, Thomas P. Stratton, Maoqun Tian, Jeremy R. Tuck, William J. Watkins, Jie Xu, Jennifer R. Zhang
  • Publication number: 20250041416
    Abstract: A pharmaceutical combination comprising (i) a first component selected from an immune effector cell (e.g., a T cell and an NK cell) expressing a molecular switch-regulated CAR polypeptide, a nucleic acid molecule encoding the CAR polypeptide, a vector comprising the nucleic acid molecule, and any combination thereof; and (ii) a second component, which is an antibody that contains a P329G mutation and specifically binds to a B-cell maturation antigen (BCMA) protein. The present invention also relates to a kit comprising the pharmaceutical combination, and the use of the pharmaceutical combination in the treatment of BCMA-related diseases in a subject.
    Type: Application
    Filed: December 7, 2022
    Publication date: February 6, 2025
    Applicant: INNOVENT CELLS PHARMACEUTICALS (SUZHOU) CO., LTD.
    Inventors: Wei XU, Huafeng WEI, Diana Binia DAROWSKI, Dan XU, Ying YAO, Bianka PRINZ, Nadthakarn BOLAND, James GEOGHEGAN
  • Publication number: 20250041548
    Abstract: A soft robot intubation device comprises a compliant body. Upon placement into a bodily orifice and subsequent pressurization therein, the compliant body forms (i) a primary segment extending to the back of the laryngopharynx, (ii) a secondary segment extending from the first segment and into the trachea, and (iii) at least one patency from the first segment to the second segment, providing a pathway from the bodily orifice to the trachea through which ventilation can be provided, either through the patency itself or an endotracheal tube advanced therethrough. The compliant body can comprise walls defining a separate first and second patencies. Pressurization of the first patency forms the primary and secondary segments. Pressurization of the second patency opens the pathway from the bodily orifice to the trachea. Additional elements are provided to secure the device to the anatomy, manipulate the anatomy, or support various device components.
    Type: Application
    Filed: March 19, 2024
    Publication date: February 6, 2025
    Inventors: David HAGGERTY, James CAZZOLI, Elliot HAWKES, David DROVER, Rohit GIROTRA, Changgeng XU
  • Publication number: 20250045131
    Abstract: Disclosed is a system and method of using an event loader to share application information. The method includes generating a first log information object indicating a consumer target where execution information generated by an application shared with a consumer account of a data exchange is written. The method includes generating a first event unloader based on the first log information object. The first event unloader is linked to the application using a mapping. The method includes sending, by a processing device, the execution information generated by the application to the consumer target using the first event unloader.
    Type: Application
    Filed: October 21, 2024
    Publication date: February 6, 2025
    Inventors: Damien Carru, Pui Kei Johnston Chu, Unmesh Jagtap, Xiaodi Ke, Haroldo Level, Subramanian Muralidhar, James Pan, Steven Parkes, Xie Xu, Tyson J. Hamilton
  • Publication number: 20250046831
    Abstract: A fuel cell stack includes end plate units each having a metal plate, a dielectric plate, and a perimeter groove defined by the dielectric plate and an edge of the metal plate. The stack also includes a gas inlet and a coolant inlet configured to receive a reactant gas and coolant into the fuel cell stack, respectively, fuel cells having a pair of bipolar plates, and a multi-layer seal disposed within the fuel cell stack on the end plate units or the bipolar plates. The multi-layer seal includes a first layer constructed of a first material that is substantially impermeable to the reactant gas, and a second layer constructed of a second material that is more resistant to corrosion than is the first material.
    Type: Application
    Filed: August 3, 2023
    Publication date: February 6, 2025
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Siguang Xu, Joseph P. Truchan, James A. Leistra
  • Patent number: 12214051
    Abstract: Methods of treating metabolic diseases and disorders using a composition comprising an antigen binding protein specific for the GIPR polypeptide conjugated to a GLP-1 receptor agonist are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the composition comprises an antibody or functional fragment thereof comprising a cysteine at one or more conjugation site(s) wherein the GLP-1 receptor agonist is conjugated to the antibody or functional fragment thereof through the side-chain of the cysteine residue.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: February 4, 2025
    Assignee: Amgen Inc.
    Inventors: Yuan Cheng, Chawita Netirojjanakul, Jerry Ryan Holder, Bin Wu, James R. Falsey, Bradley J. Herberich, Kelvin Sham, Leslie P. Miranda, Shu-Chen Lu, Murielle M. Venient-Ellison, Shanaka Stanislaus, Junming Yie, Jing Xu
  • Publication number: 20250034268
    Abstract: Provided are an antibody having an improved affinity for specifically binding to BCMA, an antibody further comprising a P329G mutation, and a conjugate, a fusion, a bispecific antibody or a pharmaceutical composition comprising the antibody. In addition, further provided are a nucleic acid encoding the antibody, a host cell comprising the nucleic acid, and a method for preparing the antibody. The present invention also relates to the therapeutic and diagnostic use of the antibody binding to BCMA.
    Type: Application
    Filed: December 7, 2022
    Publication date: January 30, 2025
    Applicant: INNOVENT BIOLOGICS (SUZHOU) CO., LTD.
    Inventors: Huafeng WEI, Dan XU, Diana Binia DAROWSKI, Bianka PRINZ, Nadthakarn BOLAND, James GEOGHEGAN
  • Patent number: 12209249
    Abstract: The present disclosure provides the identification of genes involved in sucker growth in tobacco. Also provided are promoters that are preferentially active in tobacco axillary buds. Also provided are modified tobacco plants comprising reduced or no sucker growth. Also provided are methods and compositions for producing modified tobacco plants comprising reduced or no sucker growth.
    Type: Grant
    Filed: September 28, 2023
    Date of Patent: January 28, 2025
    Assignee: Altria Client Services LLC
    Inventors: Dongmei Xu, Chengalrayan Kudithipudi, Yanxin Shen, Jaemo Yang, Jesse Frederick, James Strickland
  • Patent number: 12206100
    Abstract: Compounds, particles, and cathode active materials that can be used in lithium ion batteries are described herein. Methods of making such compounds, powders, and cathode active materials are described. The particles have a particle size distribution with a D50 ranging from 10 ?m to 20 ?m.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: January 21, 2025
    Assignee: Apple Inc.
    Inventors: Hongli Dai, Huiming Wu, Dapeng Wang, John David Carter, Yan Li, Anh D. Vu, Xiaoping Wang, Christopher S. Johnson, Rui Xu, Zhenzhen Yang, Yanjie Cui, James A. Gilbert, Arthur Jeremy Kropf, Hakim H. Iddir
  • Publication number: 20240427684
    Abstract: A computer-implemented method, a system and a computer program product for abnormal point simulation are disclosed. A processor analyzes a plurality of data blocks in first time series data to determine traits of respective data blocks. For the respective data blocks, a processor simulates one or more abnormal points based on the traits of the respective data blocks.
    Type: Application
    Filed: June 20, 2023
    Publication date: December 26, 2024
    Inventors: Si Er Han, Xiao Ming Ma, Jun Wang, Wen Pei Yu, Xue Ying Zhang, Jing James Xu, Jing Xu
  • Publication number: 20240411783
    Abstract: A computer-implemented method for treating post-modeling data includes computing, sequentially for each category of a feature, a category importance (CI) value. The CI value is based on a model accuracy change when records of a category being examined are reassigned to a remaining set of categories of the feature according to a cumulative distribution of records among the remaining set of categories of the feature, wherein the remaining set of categories include all categories of the feature, except for the category being examined. A post-modeling category is performed to merge of each category having the CI value less than a CI value threshold.
    Type: Application
    Filed: June 12, 2023
    Publication date: December 12, 2024
    Inventors: Xue Ying Zhang, Si Er Han, Jing Xu, Xiao Ming Ma, Wen Pei Yu, Jing James Xu, Jun Wang, Ji Hui Yang
  • Patent number: 12153953
    Abstract: Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: November 26, 2024
    Assignee: International Business Machines Corporation
    Inventors: A Peng Zhang, Lei Gao, Jin Wang, Jing James Xu, Jun Wang, Dong Hai Yu
  • Patent number: 12056622
    Abstract: A method for identifying influential effects that contribute most to a status change of a target index for goal seeking analysis. The method includes generating a candidate list of significant changed predictors between the normal and abnormal status time periods in collected data, and building a plurality of regression models from the collected data. The method determines a first value (trend value or Pearson correlation value) for each of the significant changed predictors based on whether at least one of the significant changed predictors have a significant change trend using the regression models. The method obtains a second predictor importance value for each of the significant changed predictors from a single model built on all the collected data. The method generates a final predictor value for each of the significant changed predictors by combining the first value with the second predictor importance value for each of the significant changed predictors.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: August 6, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jing James Xu, Lei Gao, A Peng Zhang, Rui Wang, Si Er Han, Xiao Ming Ma
  • Publication number: 20240256637
    Abstract: A computer implemented method manages an ensemble model system to classify records. A number of processor units cluster records into groups of records based on classification predictions generated by base models in the ensemble model system for the records. The number of processor units determines sets of weights for the base models that increase a probability that the base models in the ensemble model system correctly predict the groups of records. Each set of weights in the sets of weights is associated with a group of records in the groups of records.
    Type: Application
    Filed: January 27, 2023
    Publication date: August 1, 2024
    Inventors: Si Er Han, Xue Ying Zhang, Jing Xu, Jing James Xu, Xiao Ming Ma, Wen Pei Yu, Jun Wang, Ji Hui Yang
  • Patent number: 12014026
    Abstract: Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.
    Type: Grant
    Filed: April 21, 2023
    Date of Patent: June 18, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Long Fan, Yang Yang, Ye Fan, Juan Wu, Qi Mao, Jing James Xu
  • Publication number: 20240193830
    Abstract: In an approach for post-modeling data visualization and analysis, a processor presents a first visualization of a training dataset in a first plot. Responsive to receiving a selection of a data group of the training dataset to analyze, a processor identifies three or fewer key model features of the data group of the training dataset. A processor ascertains a representative record of each key model feature of the three or fewer key model features using a Local Interpretable Model-Agnostic Explanation technique. A processor presents a second visualization of the three or fewer key model features and the representative record of each key model feature in a second plot.
    Type: Application
    Filed: December 13, 2022
    Publication date: June 13, 2024
    Inventors: Wen Pei Yu, Xiao Ming Ma, Xue Ying Zhang, Si Er Han, Jing James Xu, Jing Xu, Jun Wang
  • Publication number: 20240169614
    Abstract: A method, computer system, and a computer program product are provided for post-modeling feature evaluation. In one embodiment, at least at least one post model visual output and associated data is obtained that at least includes an individual conditional expectation (ICE) plot and a partial dependence (PDP) plot. Using the associated data and the plots, a Feature Importance (PI) plot is provided. A plurality of features is then determined for each PI, PDP and ICE plots to calculate at least one Interesting Value for each plot. An overall score is also calculated for each plurality of features based on the associated Interesting Values for each PDP, ICE and PI plots. At least one top feature is selected based on said scores. A final plot is then generated at least reflecting the top feature. The final plot combines the PI, PDP and ICE plots together.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 23, 2024
    Inventors: Xiao Ming Ma, Wen Pei Yu, Jing James Xu, Xue Ying Zhang, Si Er Han, Jing Xu, Jun Wang
  • Patent number: 11971796
    Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.
    Type: Grant
    Filed: May 18, 2021
    Date of Patent: April 30, 2024
    Assignee: International Business Machines Corporation
    Inventors: Xiao Ming Ma, Si Er Han, Lei Gao, A Peng Zhang, Chun Lei Xu, Rui Wang, Jing James Xu
  • Patent number: 11966570
    Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.
    Type: Grant
    Filed: April 26, 2022
    Date of Patent: April 23, 2024
    Assignee: Truist Bank
    Inventors: Kenneth William Cluff, Harold Thomas Wood, III, Peter Councill, James Xu
  • Patent number: 11966340
    Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.
    Type: Grant
    Filed: March 15, 2022
    Date of Patent: April 23, 2024
    Assignee: International Business Machines Corporation
    Inventors: Long Vu, Bei Chen, Xuan-Hong Dang, Peter Daniel Kirchner, Syed Yousaf Shah, Dhavalkumar C. Patel, Si Er Han, Ji Hui Yang, Jun Wang, Jing James Xu, Dakuo Wang, Gregory Bramble, Horst Cornelius Samulowitz, Saket K. Sathe, Wesley M. Gifford, Petros Zerfos