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1.发明公开
公开(公告)号：EP4457029A1
公开(公告)日：2024-11-06
申请号：EP22917334.9
申请日：2022-12-28
申请人： Memorial Sloan-Kettering Cancer Center , Memorial Hospital for Cancer and Allied Diseases , Sloan-kettering Institute For Cancer Research
发明人： FICHTER, Noah
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公开(公告)号：EP4404111A3
公开(公告)日：2024-10-23
申请号：EP24178423.0
申请日：2019-07-30
摘要： Systems and methods for multi-modal, multi-resolution deep learning neural networks for segmentation, outcomes prediction and longitudinal response monitoring to immunotherapy and radiotherapy are detailed herein. A structure-specific Generational Adversarial Network (SSGAN) is used to synthesize realistic and structure-preserving images not produced using state-of-the art GANs and simultaneously incorporate constraints to produce synthetic images. A deeply supervised, Multi-modality, Multi-Resolution Residual Networks (DeepMMRRN) for tumor and organs-at-risk (OAR) segmentation may be used for tumor and OAR segmentation. The DeepMMRRN may combine multiple modalities for tumor and OAR segmentation. Accurate segmentation is may be realized by maximizing network capacity by simultaneously using features at multiple scales and resolutions and feature selection through deep supervision. DeepMMRRN Radiomics may be used for predicting and longitudinal monitoring response to immunotherapy. Auto-segmentations may be combined with radiomics analysis for predicting response prior to treatment initiation. Quantification of entire tumor burden may be used for automatic response assessment.
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公开(公告)号：EP4398254A3
公开(公告)日：2024-10-23
申请号：EP24167296.3
申请日：2014-04-29
申请人： Memorial Sloan Kettering Cancer Center , The Rockefeller University , Rutgers, The State University of New Jersey , University of Bonn
发明人： PATEL, Dinshaw J. , TUSCHL, Thomas , ASCANO, Manuel , WU, Yang , LIU, Yizhou , BARCHET, Winfried , HARTMANN, Gunther , ZILLINGER, Thomas , JONES, Roger , GAFFNEY, Barbara L. , GAO, Pu
IPC分类号： C07F9/6564 , A61K31/708 , A61K31/7076 , A61K31/7084 , C07F9/6574 , C07H21/00 , C12Q1/48 , A61K31/522 , A61K47/55 , A61P1/00 , A61P1/16 , A61P3/00 , A61P3/02 , A61P3/06 , G16B15/00 , G16B20/00 , G16B20/50
摘要： The invention relates to compositions, methods, kits, and assays related to the use and/or exploitation of isomers of cGAMP as well as the structure of the enzyme cGAS.
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公开(公告)号：EP4422503A1
公开(公告)日：2024-09-04
申请号：EP22888141.3
申请日：2022-10-26
申请人： Memorial Sloan Kettering Cancer Center , Memorial Hospital for Cancer and Allied Diseases , Sloan-Kettering Institute for Cancer Research
CPC分类号： A61B6/5205 , A61B6/037 , G06T11/008
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公开(公告)号：EP4404111A2
公开(公告)日：2024-07-24
申请号：EP24178423.0
申请日：2019-07-30
IPC分类号： G06N20/00
CPC分类号： A61B5/055 , A61B6/03 , A61B6/5211 , G16H50/20 , G06N3/088 , G06N20/20 , G06N3/084 , G06T7/11 , G06T2207/1007220130101 , G06T2207/2008420130101 , G06T7/0012 , G06T2207/1008120130101 , G06T2207/1008820130101 , G06T2207/2008120130101 , G06T2207/3009620130101 , G06N5/01 , G06N3/047 , G06N7/01 , G06N3/045
摘要： Systems and methods for multi-modal, multi-resolution deep learning neural networks for segmentation, outcomes prediction and longitudinal response monitoring to immunotherapy and radiotherapy are detailed herein. A structure-specific Generational Adversarial Network (SSGAN) is used to synthesize realistic and structure-preserving images not produced using state-of-the art GANs and simultaneously incorporate constraints to produce synthetic images. A deeply supervised, Multi-modality, Multi-Resolution Residual Networks (DeepMMRRN) for tumor and organs-at-risk (OAR) segmentation may be used for tumor and OAR segmentation. The DeepMMRRN may combine multiple modalities for tumor and OAR segmentation. Accurate segmentation is may be realized by maximizing network capacity by simultaneously using features at multiple scales and resolutions and feature selection through deep supervision. DeepMMRRN Radiomics may be used for predicting and longitudinal monitoring response to immunotherapy. Auto-segmentations may be combined with radiomics analysis for predicting response prior to treatment initiation. Quantification of entire tumor burden may be used for automatic response assessment.
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公开(公告)号：EP4398254A2
公开(公告)日：2024-07-10
申请号：EP24167296.3
申请日：2014-04-29
申请人： Memorial Sloan Kettering Cancer Center , The Rockefeller University , Rutgers, The State University of New Jersey , University of Bonn
发明人： PATEL, Dinshaw J. , TUSCHL, Thomas , ASCANO, Manuel , WU, Yang , LIU, Yizhou , BARCHET, Winfried , HARTMANN, Gunther , ZILLINGER, Thomas , JONES, Roger , GAFFNEY, Barbara L. , GAO, Pu
IPC分类号： G16B20/00
CPC分类号： C07F9/65746 , A61K47/55 , A61K31/522 , G16B15/00 , G16B20/00 , C07H21/00 , C12Y207/07 , A61P1/00 , A61P1/04 , A61P1/16 , A61P11/00 , A61P13/00 , A61P13/12 , A61P17/02 , A61P17/06 , A61P19/02 , A61P19/10 , A61P21/00 , A61P21/04 , A61P25/00 , A61P25/14 , A61P25/18 , A61P25/24 , A61P25/28 , A61P27/02 , A61P29/00 , A61P3/00 , A61P3/02 , A61P31/00 , A61P31/04 , A61P31/10 , A61P31/12 , A61P35/00 , A61P3/06 , A61P37/02 , A61P37/06 , A61P37/08 , A61P43/00 , A61P5/14 , A61P7/00 , A61P7/02 , A61P7/04 , A61P7/06 , A61P9/00 , A61P9/10 , A61P3/10 , G16B20/30 , G16B20/50
摘要： The invention relates to compositions, methods, kits, and assays related to the use and/or exploitation of isomers of cGAMP as well as the structure of the enzyme cGAS.
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公开(公告)号：EP4337230A2
公开(公告)日：2024-03-20
申请号：EP22808461.2
申请日：2022-05-13
IPC分类号： A61K35/17 , C12N5/0783 , A61P35/00 , A61K45/06
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公开(公告)号：EP4289484A3
公开(公告)日：2024-03-06
申请号：EP23190631.4
申请日：2017-12-07
申请人： Agenus Inc. , Ludwig Institute for Cancer Research Ltd. , Memorial Sloan-Kettering Cancer Center
发明人： VAN DIJK, Marc , MUNDT, Cornelia Anne , RITTER, Gerd , SCHAER, David , WOLCHOK, Jedd David , MERGHOUB, Taha , WILSON, Nicholas Stuart , SAVITSKY, David Adam , FINDEIS, Mark Arthur , UNDERWOOD, Dennis John , CUILLEROT, Jean-Marie , PROSCURSHIM, Igor , SHEBANOVA, Olga
摘要： The instant disclosure provides antibodies that specifically bind to CTLA-4 (e.g., human CTLA-4) and antagonize CTLA-4 function. Also provided are pharmaceutical compositions comprising these antibodies, nucleic acids encoding these antibodies, expression vectors and host cells for making these antibodies, and methods of treating a subject using these antibodies.
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公开(公告)号：EP4289484A2
公开(公告)日：2023-12-13
申请号：EP23190631.4
申请日：2017-12-07
申请人： Agenus Inc. , Ludwig Institute for Cancer Research Ltd. , Memorial Sloan-Kettering Cancer Center
发明人： VAN DIJK, Marc , MUNDT, Cornelia Anne , RITTER, Gerd , SCHAER, David , WOLCHOK, Jedd David , MERGHOUB, Taha , WILSON, Nicholas Stuart , SAVITSKY, David Adam , FINDEIS, Mark Arthur , UNDERWOOD, Dennis John , CUILLEROT, Jean-Marie , PROSCURSHIM, Igor , SHEBANOVA, Olga
IPC分类号： A61P35/04
摘要： The instant disclosure provides antibodies that specifically bind to CTLA-4 (e.g., human CTLA-4) and antagonize CTLA-4 function. Also provided are pharmaceutical compositions comprising these antibodies, nucleic acids encoding these antibodies, expression vectors and host cells for making these antibodies, and methods of treating a subject using these antibodies.
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公开(公告)号：EP4263613A1
公开(公告)日：2023-10-25
申请号：EP21907840.9
申请日：2021-12-16
申请人： Memorial Sloan-Kettering Cancer Center , Tri-Institutional Therapeutics Discovery Institute, Inc.
IPC分类号： C07K16/28 , A61K39/395
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