Patents by Inventor Kai Fu
Kai Fu 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).
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Publication number: 20210043324Abstract: A computer aided medical method include following steps. An initial symptom is collected through an interaction interface. A representative prediction model is selected from plural candidate prediction models according to the initial symptom. The candidate prediction models are trained by a machine learning algorithm according to clinical data. A series of sequential actions is generated according to the representative prediction model and the initial symptom. The sequential actions are selected from plural candidate actions in the representative prediction model. The candidate actions include plural inquiry actions and plural disease prediction actions. Each of the sequential actions is one of the inquiry actions or the disease prediction actions. The series of sequential actions is displayed on the interaction interface.Type: ApplicationFiled: October 23, 2020Publication date: February 11, 2021Inventors: Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou, Edward Chang
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Publication number: 20200390745Abstract: A method for preventing or treating a non-alcoholic fatty liver disease in a subject who is at risk of suffering from the non-alcoholic fatty liver disease or suffers from the non-alcoholic fatty liver disease, by administering to the subject a composition comprising a therapeutically effective amount of Antrodins.Type: ApplicationFiled: June 12, 2020Publication date: December 17, 2020Applicant: Simpson Biotech Co., Ltd.Inventors: Chia-Chin Sheu, Tse-Kai Fu
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Patent number: 10854335Abstract: A computer aided medical method include following steps. An initial symptom is collected through an interaction interface. A representative prediction model is selected from plural candidate prediction models according to the initial symptom. The candidate prediction models are trained by a machine learning algorithm according to clinical data. A series of sequential actions is generated according to the representative prediction model and the initial symptom. The sequential actions are selected from plural candidate actions in the representative prediction model. The candidate actions include plural inquiry actions and plural disease prediction actions. Each of the sequential actions is one of the inquiry actions or the disease prediction actions. The series of sequential actions is displayed on the interaction interface.Type: GrantFiled: November 29, 2017Date of Patent: December 1, 2020Assignee: HTC CorporationInventors: Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou, Edward Chang
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Publication number: 20200354478Abstract: Provided are proteinaceous heterodimers, pharmaceutical compositions, medicaments and/or kits comprising the proteinaceous heterodimers, methods for producing the proteinaceous heterodimers, and uses thereof.Type: ApplicationFiled: June 13, 2018Publication date: November 12, 2020Applicant: DINGFU BIOTARGET CO., LTD.Inventors: Ting XU, Yan LUAN, Jianjian PENG, Kai FU, Meng ZHAO, Xiaoxiao WANG
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Publication number: 20200342989Abstract: A computer aided medical method includes the following steps. An initial symptom of a patient and context information is collected through an interaction interface. Actions in a series are sequentially generated according to the candidate prediction models and the initial symptom. Each of the actions corresponds to one of the inquiry actions or one of the disease prediction actions. If the latest one of the sequential actions corresponds to one of the disease prediction actions, potential disease predictions are generated in a first ranking evaluated by the candidate prediction models. The first ranking is adjusted into a second ranking according to the context information. A result prediction corresponding to the potential disease predictions is generated in the second ranking.Type: ApplicationFiled: July 3, 2020Publication date: October 29, 2020Inventors: Kai-Fu TANG, Edward CHANG, Hao-Cheng KAO
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Publication number: 20200268902Abstract: Provided are compositions and methods for treating cancer comprising the use of a immunoconjugate in combination with a cytotoxic agent or cytotoxic therapy. The immunoconjugate in combination with a cytotoxic agent or cytotoxic therapy shows synergistic effects in cancer treatment.Type: ApplicationFiled: September 21, 2018Publication date: August 27, 2020Inventors: Ting XU, Yan LUAN, Shilong FU, Songbing QIN, Jian DING, Kai FU
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Patent number: 10734113Abstract: A computer aided medical method includes the following steps. An initial symptom of a patient and context information is collected through an interaction interface. Actions in a series are sequentially generated according to the candidate prediction models and the initial symptom. Each of the actions corresponds to one of the inquiry actions or one of the disease prediction actions. If the latest one of the sequential actions corresponds to one of the disease prediction actions, potential disease predictions are generated in a first ranking evaluated by the candidate prediction models. The first ranking is adjusted into a second ranking according to the context information. A result prediction corresponding to the potential disease predictions is generated in the second ranking.Type: GrantFiled: December 8, 2017Date of Patent: August 4, 2020Assignee: HTC CorporationInventors: Kai-Fu Tang, Edward Chang, Hao-Cheng Kao
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Patent number: 10697975Abstract: Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.Type: GrantFiled: June 22, 2017Date of Patent: June 30, 2020Assignees: The United States of America, as represented by the Secretary, Department of Health and Human Services, Board of Regents of the University of Nebraska, University of Rochester, Arizona Board of Regents on behalf of the University of Arizona, Universitat de Barcelona, Fundacio Clinic, Hospital Clinic de Barcelona, Julius-Maximilians-University of Würzburg, British Columbia Cancer Agency Branch, Oslo University Hospital HF, Queen Mary and Westfield College, University of LondonInventors: Louis M. Staudt, George Wright, Sandeep Dave, Bruce Tan, John I. Powell, Wyndham Wilson, Elaine S. Jaffe, Wing C. Chan, Timothy C. Greiner, Dennis Weisenburger, James Armitage, Kai Fu, Richard I. Fisher, Lisa M. Rimsza, Thomas Miller, Thomas Grogan, Elias Campo Guerri, Silvia M. Bea, Itziar Salaverria, Armando Lopez-Guillermo, Emilio Montserrat, Victor Moreno, Andreas Zettl, German Ott, Hans-Konrad Muller-Hermelink, Andreas Rosenwald, Julie Vose, Randy Gascoyne, Joseph Connors, Erlend B. Smeland, Stein Kvaloy, Harald Holte, Jan Delabie, T. Andrew Lister
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Publication number: 20200144328Abstract: A switching device including a GaN substrate; an unintentionally doped GaN layer on a first surface of the GaN substrate; a regrown unintentionally doped GaN layer on the unintentionally doped GaN layer; a regrowth interface between the unintentionally doped GaN layer and the regrown unintentionally doped GaN layer; a p-GaN layer on the regrown unintentionally doped GaN layer; a first electrode on the p-GaN layer; and a second electrode on a second surface of the GaN substrate.Type: ApplicationFiled: October 29, 2019Publication date: May 7, 2020Inventors: Kai Fu, Houqiang Fu, Yuji Zhao
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Publication number: 20200143906Abstract: The invention is directed to methods for selecting a treatment option for an activated B cell-like diffuse large B cell lymphoma (ABC DLBCL) subject, a germinal center B cell-like diffuse large B cell lymphoma (GCB DLBCL) subject, a primary mediastinal B cell lymphoma (PMBL) subject, a Burkitt lymphoma (BL) subject, or a mantle cell lymphoma (MCL) subject by analyzing digital gene expression data obtained from the subject, e.g., from a biopsy sample.Type: ApplicationFiled: January 17, 2020Publication date: May 7, 2020Applicants: The United States of America,as represented by the Secretary,Department of Health and Human Services, British Columbia Cancer Agency Branch, Arizona Board of Regents on Behalf of the University of Arizona, Universitat de Barcelona, Hospital Clinic de Barcelona, The Cleveland Clinic Foundation, Board of Regents of the University of Nebraska, Oregon Health & Science University, Julius-Maximilians-University of Würzburg, Oslo University Hospital HFInventors: Louis M. Staudt, George W. Wright, David William Scott, Joseph M. Connors, Randy D. Gascoyne, Lisa Rimsza, Elias Campo Guerri, Raymond Tubbs (Deceased), Timothy C. Greiner, James Robert Cook, Kai Fu, Paul Michael Williams, Chih-Jian Lih, Elaine S. Jaffe, Rita M. Braziel, Andreas Rosenwald, Erlend B. Smeland, Wing C. Chan, German Ott, Jan Delabie, Dennis Weisenburger
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Patent number: 10635942Abstract: Provided are a method and apparatus for identifying a product. The method includes: acquiring an image of the product; performing multilevel detection on the image to determine a label region of the product, specifically, an image region corresponding to a previous level of detection is greater than an image region corresponding to a following level of detection; and identifying information in the label region to determine information of the product. A product can be identified automatically by acquiring the image of the product and performing multilevel detection on the image, thereby efficiency is improved, a large number of products can be handled, and cost is reduced.Type: GrantFiled: April 24, 2018Date of Patent: April 28, 2020Assignee: Shenzhen Malong Technologies Co., Ltd.Inventors: Matthew Robert Scott, Dinglong Huang, Kai Fu
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Patent number: 10636024Abstract: Provided are a self-service method and device. The method includes: acquiring by a camera video data associated with a shopping cart at a distance from a shelf less than a preset value; determining whether an article is being placed into the shopping cart, based on identification of the video data; if yes, acquiring an ID of the shopping cart, determining the placed article and associating the ID with the article; displaying a total sum of all articles associated with the ID to the user when detecting the shopping cart corresponding to the ID is located in a preset payment area in the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.Type: GrantFiled: May 21, 2018Date of Patent: April 28, 2020Assignee: Shenzhen Malong Technologies Co., Ltd.Inventors: Matthew Robert Scott, Dinglong Huang, Kai Fu
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Publication number: 20200105364Abstract: In embodiments of the invention, the invention provides a method for distinguishing between lymphoma types based on gene expression measurements. In embodiments, the invention distinguishes between PMBCL and DLBCL based on gene expression signatures, and can further distinguish between DLBCL subtypes. In embodiments of the invention, the distinctions are used in methods of treatment.Type: ApplicationFiled: December 13, 2019Publication date: April 2, 2020Applicants: The United States of America,as represented by the Secretary,Department of Health and Human Services, British Columbia Cancer Agency Branch, Mayo Foundation for Medical Education and Research, Julius-Maximilians-University of Würzburg, Board of Regents of the University of Nebraska, Oslo University Hospital HF, Hospital Clinic de Barcelona, Universitat de Barcelona, Institut D? Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Robert Bosch Gesellschaft fuer medizinische Forschung mbH, Oregon Health & Science University, City of Hope, The Cleveland Clinic FoundationInventors: Louis M. Staudt, Christian Steidl, Anja Mottok, George W. Wright, David William Scott, Lisa M. Rimsza, Andreas Rosenwald, Randy Gascoyne, Timothy Greiner, Dennis Weisenburger, Erlend B. Smeland, Jan Delabie, Elias Campo Guerri, German Ott, Rita Braziel, Elaine S. Jaffe, Kai Fu, Wing C. Chan, Joo Song, James R. Cook
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Patent number: 10607717Abstract: The invention is directed to methods for selecting a treatment option for an activated B cell-like diffuse large B cell lymphoma (ABC DLBCL) subject, a germinal center B cell-like diffuse large B cell lymphoma (GCB DLBCL) subject, a primary mediastinal B cell lymphoma (PMBL) subject, a Burkitt lymphoma (BL) subject, or a mantle cell lymphoma (MCL) subject by analyzing digital gene expression data obtained from the subject, e.g., from a biopsy sample.Type: GrantFiled: November 5, 2014Date of Patent: March 31, 2020Assignees: The United States of America, as represented by the Secretary, Department of Health and Human Services, British Columbia Cancer Agency Branch, Arizona Board of Regents on behalf of the University of Arizona, Universitat de Barcelona, Hospital Clinic de Barcelona, The Cleveland Clinic Foundation, Board of Regents of the University of Nebraska, Oregon Health and Science University, Julius-Maximilians-University of Würzburg, Oslo University Hospital HFInventors: Louis M. Staudt, George W. Wright, David William Scott, Joseph M. Connors, Randy D. Gascoyne, Lisa Rimsza, Elias Campo Guerri, Raymond Tubbs, Timothy C. Greiner, James Robert Cook, Kai Fu, Paul Michael Williams, Chih-Jian Lih, Elaine S. Jaffe, Rita M. Braziel, Andreas Rosenwald, Erlend B. Smeland, Wing C. Chan, German Ott, Jan Delabie, Dennis Weisenburger
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Publication number: 20200058399Abstract: A method for controlling a medical system includes the following operations. The medical system receives an initial symptom. A neural network model is utilized to select at least one symptom inquiry action. The medical system receives at least one symptom answer to the at least one symptom inquiry action. A neural network model is utilized to select at least one medical test action from candidate test actions according to the initial symptom and the at least one symptom answer. The medical system receives at least one test result of the at least one medical test action. A neural network model is utilized to select a result prediction action from candidate prediction actions according to the initial symptom, the at least one symptom answer and the at least one test result.Type: ApplicationFiled: August 16, 2019Publication date: February 20, 2020Inventors: Yang-En CHEN, Kai-Fu TANG, Yu-Shao PENG, Edward CHANG
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Publication number: 20190355471Abstract: A control method for a reinforcement learning system includes following operations. The reinforcement learning system obtains training data relating to an interaction system. The interaction system interacts with a reinforcement learning agent. A neural network model is utilized by the reinforcement learning agent for selecting sequential actions from a set of candidate actions. The neural network model is trained to maximize cumulative rewards collected by the reinforcement learning agent in response to the sequential actions. During training of the neural network model, auxiliary rewards of the cumulative rewards are provided to the reinforcement learning agent according to a comparison between symptom inquiry actions of the sequential actions and diagnosed symptoms in the training data.Type: ApplicationFiled: May 17, 2019Publication date: November 21, 2019Inventors: Yu-Shao PENG, Kai-Fu TANG, Edward CHANG, Hsuan-Tien LIN
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Patent number: 10392144Abstract: A hydraulic steel strapping machine for strapping a steel strip around a package, including a clamping and cutting section and a tensioning section. An objective of the present invention is to minimize the weight and the volume of the steel strapping machine. The clamping and cutting section comprises a clamping cylinder, disposed on a top position of a front end of the hydraulic steel strapping machine along a Z direction and supported by a support frame, for driving a linkage mechanism. A cylinder pin is disposed in the linkage mechanism along a X direction and is sleeved by a lifting lug fixed onto a bottom surface of a piston of the clamping cylinder. A pressing part is sleeved around the cylinder pin, a cutter, a return spring and a transverse cutter are disposed below the pressing part. The linkage mechanism comprises two groups of connecting rods.Type: GrantFiled: November 27, 2016Date of Patent: August 27, 2019Assignee: MEISHAN CRRC FASTENING SYSTEM CO., LTD.Inventors: Xiangyun Zhao, Kai Fu, Yu Liu, Wei Li, Min Lei, Huan Li
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Patent number: 10309436Abstract: Provided is a single-groove and short-tail pulling rivet and an erection method thereof, and the pulling rivet comprises a single groove and a short tail having a broached groove with a continuous and smooth cambered surface, and is characterized by easy manufacturing, low cost and convenient erection. The broached groove is an arc surface with three sections of different radiuses, which solves stress concentration and sticking of a single-groove and short-tail rivet during riveting, and allows a claw of a riveting machine to be engaged to the best position automatically. The tooth profile of a locking groove section of the rivet is a curve combining an arc and a straight line, which greatly improves fastening force.Type: GrantFiled: December 14, 2016Date of Patent: June 4, 2019Assignee: MEISHAN CRRC FASTENING SYSTEM CO., LTD.Inventors: Xu He, Yu Liu, Kai Fu, Xiong Zhang, Yunlong Jia, Guangcheng Dai, Xinrong Li, Xia Wang, Yong Wan
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Publication number: 20190164142Abstract: Provided are a self-service method and device. The method includes: acquiring by a camera video data associated with a shopping cart at a distance from a shelf less than a preset value; determining whether an article is being placed into the shopping cart, based on identification of the video data; if yes, acquiring an ID of the shopping cart, determining the placed article and associating the ID with the article; displaying a total sum of all articles associated with the ID to the user when detecting the shopping cart corresponding to the ID is located in a preset payment area in the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.Type: ApplicationFiled: May 21, 2018Publication date: May 30, 2019Inventors: Matthew Robert Scott, Dinglong Huang, Kai Fu
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Publication number: 20190164178Abstract: Provided are a method and a device for shoe data acquisition, applied to a shopping mall with a camera provided in a preset area such that only a shoe display area can be photographed and having a photographing region lower than a preset height. The method includes monitoring the shoe display area by the camera to acquire monitoring data containing shoe pictures and movement tracks; recognizing the shoe pictures to determine shoe information and determining time length information corresponding to the movement tracks in the monitoring data; associating the shoe information with the time length information and then storing the shoe information. Thus, by detecting the data moved due to customers' viewing or trying-on of shoes and automatically associating it with the shoes, an automatic shoe data acquisition is achieved, and follow-up data intercommunication can be automatically realized, acquiring more comprehensive data and ensuring the value of the data acquired.Type: ApplicationFiled: May 21, 2018Publication date: May 30, 2019Inventors: Matthew Robert Scott, Dinglong Huang, Kai Fu