公开(公告)号：US20240409535A1

公开(公告)日：2024-12-12

申请号：US18652953

申请日：2024-05-02

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Cheol Keun CHUNG ,  Jie XU ,  Hans IDING ,  Kyle CLAGG ,  Michael DALZIEL ,  Alec FETTES ,  Francis GOSSELIN ,  Ngiap-Kie LIM ,  Andrew MCCLORY ,  Haiming ZHANG ,  Paroma CHAKRAVARTY ,  Karthik NAGAPUDI ,  Sarah ROBINSON

IPC: C07D471/04 ,  C07D403/14

Abstract: Provided herein are solid forms, salts, and formulations of 3-((1R,3R)-1-(2,6-difluoro-4-((1-(3-fluoropropyl)azetidin-3-yl)amino)phenyl)-3-methyl-1,3,4,9-tetrahydro-2H-pyrido[3,4-b]indol-2-yl)-2,2-difluoropropan-1-ol, processes and synthesis thereof, and methods of their use in the treatment of cancer.

公开(公告)号：US20240404648A1

公开(公告)日：2024-12-05

申请号：US18680089

申请日：2024-05-31

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Natasa TAGASOVSKA ,  Michael Robert MASER

IPC: G16C20/30 ,  G16C20/70

Abstract: A method may include determining a first conformer of a molecule. A first uncertainty metric of the first conformer of the molecule may be determined. A counterfactual generative model may be applied to generate a second conformer of the molecule associated with a second uncertainty metric. The counterfactual generative model may generate the second conformer by sampling from a latent space populated by a plurality of embeddings of molecular conformers. The molecular analysis model may be applied to determine, based on a structure of the second conformer, the molecular property of the molecule. Related systems and computer program products are also provided.

公开(公告)号：US12141968B2

公开(公告)日：2024-11-12

申请号：US17583869

申请日：2022-01-25

Applicant: Genentech, Inc.

Inventor： Anjali Saqi ,  Shawn Wen Sun ,  Kosei Tajima ,  Barbara Jennifer Gitlitz

IPC: G06T7/00 ,  G16B15/00

Abstract: In one embodiment, a method includes, for each of a set of samples, receiving data input that includes dimensions of a sample area, a percentage of the sample area being viable cells, and a percentage of the sample area exhibiting necrosis. The method includes, for each of the set of samples, computing a percentage of the sample area being stroma. The method includes, for each of the set of samples, computing weighting factors. The method includes computing a weighted percentage of the set of samples being viable cells based on the computed weighting factor and percentage of the sample area being viable cells for each of the set of samples. The method includes determining that a specified condition is detected in the set of samples based on the computed weighted percentage of the set of samples being viable cells satisfying a threshold correlating with an indication of the specified condition.

公开(公告)号：US20240362784A1

公开(公告)日：2024-10-31

申请号：US18771363

申请日：2024-07-12

Applicant: GENENTECH, INC.

Inventor： Fang-Yao HU

IPC: G06T7/00 ,  A61B5/00 ,  G06N3/08 ,  G06V10/25 ,  G06V10/94 ,  G06V20/69 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70

CPC classification number: G06T7/0012 ,  A61B5/4325 ,  A61B5/4845 ,  A61B5/4848 ,  G06N3/08 ,  G06V10/25 ,  G06V10/95 ,  G06V20/693 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  G06T2207/30024 ,  G06T2207/30242 ,  G06V2201/031

Abstract: The present disclosure relates to a deep learning neural network that can identify corpora lutea in the ovaries and a rules-based technique that can count the corpora lutea identified in the ovaries and infer an ovarian toxicity of a compound based on the count of the corpora lutea (CL). Particularly, aspects of the present disclosure are directed to obtaining a set of images of tissue slices from ovaries treated with an amount of a compound; generating, using a neural network model, the set of images with a bounding box around objects that are identified as the CL within the set of images based on coordinates predicted for the bounding box; counting the bounding boxes within the set of images to obtain a CL count for the ovaries; and determining an ovarian toxicity of the compound at the amount based on the CL count.

公开(公告)号：US12131801B2

公开(公告)日：2024-10-29

申请号：US18513348

申请日：2023-11-17

Applicant: Genentech, Inc. ,  Simons Foundation ,  New York University

Inventor： Vladimir Gligorijevic ,  Richard Bonneau ,  Kyunghyun Cho

IPC: G01N33/48 ,  G16B15/00 ,  G16B30/20

CPC classification number: G16B15/00 ,  G16B30/20

Abstract: A protein design system includes one or more processors configured to modify, by a modifier, an input sequence corresponding to a protein, the input sequence comprising a data structure indicating a plurality of amino acid residues of the protein; map, by an encoder, the modified sequence to a latent space; predict, by a length predictor, a length difference between the mapped sequence and a target sequence based on at least one target function of the target sequence; identify, by a function classifier, at least one sequence function of the modified sequence; transform, by a length transformer, the modified sequence based on the length difference and the at least one sequence function; and generate, by a decoder, a candidate for the target sequence based on the transformed sequence.

公开(公告)号：US20240352136A1

公开(公告)日：2024-10-24

申请号：US18687561

申请日：2022-09-02

Applicant: Hoffmann-La Roche Inc. ,  Genentech, Inc.

Inventor： Maria Amann ,  Laurène Pousse ,  Christophe Boetsch ,  Martin Weisser ,  Theresa Kolben ,  Vaios Karanikas ,  Jan Eckmann ,  Bruno Carneiro de Medeiros

IPC: C07K16/28 ,  A61K31/496 ,  A61K31/706 ,  A61K39/395

CPC classification number: C07K16/2866 ,  A61K31/496 ,  A61K31/706 ,  A61K39/3955 ,  C07K2317/35 ,  C07K2317/40 ,  C07K2317/732

Abstract: The present invention relates to anti-CD-25 antibodies for use in the treatment of acute myeloid leukemia (AML) and diffuse large B-cell lymphoma (DLBCL).

公开(公告)号：US12115015B2

公开(公告)日：2024-10-15

申请号：US17473495

申请日：2021-09-13

Applicant: GENENTECH, INC.

Inventor： Nils Gustav Thomas Bengtsson ,  Richard Alan Duray Carano ,  Alexander James Stephen Champion de Crespigny ,  Jill Osborn Fredrickson ,  Mohamed Skander Jemaa

IPC: A61B6/00 ,  G06N3/02 ,  G06T7/11 ,  G06T7/174 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50

CPC classification number: A61B6/5217 ,  A61B6/5235 ,  A61B6/5247 ,  G06N3/02 ,  G06T7/11 ,  G06T7/174 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20016 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T2207/30242

Abstract: The present disclosure relates to techniques for segmenting tumors with positron emission tomography (PET) using deep convolutional neural networks for image and lesion metabolism analysis. Particularly, aspects of the present disclosure are directed to obtaining a PET scans and computerized tomography (CT) or magnetic resonance imaging (MRI) scans for a subject, preprocessing the PET scans and the CT or MRI scans to generate standardized images, generating two-dimensional segmentation masks, using two-dimensional segmentation models implemented as part of a convolutional neural network architecture that takes as input the standardized images, generating three-dimensional segmentation masks, using three-dimensional segmentation models implemented as part of the convolutional neural network architecture that takes as input patches of image data associated with segments from the two-dimensional segmentation mask, and generating a final imaged mask by combining information from the two-dimensional segmentation masks and the three-dimensional segmentation masks.

公开(公告)号：US20240339191A1

公开(公告)日：2024-10-10

申请号：US18744107

申请日：2024-06-14

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Yusuke Alexander KIKUCHI ,  Ales NEUBERT ,  Carlos Quezada RUIZ ,  Jian DAI

IPC: G16H20/17 ,  A61B3/00 ,  A61B3/10 ,  A61B3/12 ,  G16H50/30

CPC classification number: G16H20/17 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/1225 ,  G16H50/30

Abstract: A method and system for predicting a selected treatment regimen for a subject. Baseline data for a subject diagnosed with neovascular age-related macular degeneration (nAMD) is received. A plurality of predictor inputs is formed for an outcome predictor using the baseline data and regimen data for a plurality of treatment regimens. The plurality of predictor inputs comprises a different predictor input for each of the plurality of treatment regimens. A plurality of treatment scores is generated for the plurality of treatment regimens via the set of outcome predictor using the plurality of predictor inputs. One of the plurality of treatment regimens is selected as a selected treatment regimen for the subject based on the plurality of treatment scores.

公开(公告)号：US20240338823A1

公开(公告)日：2024-10-10

申请号：US18744197

申请日：2024-06-14

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Fethallah BENMANSOUR ,  Jelena NOVOSEL ,  Jian DAI ,  Daniela Ferrara CAVALCANTI

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/20081 ,  G06T2207/30041

Abstract: A method and system for detecting a presence of comorbid ocular conditions. Input data that includes imaging data for an eye of a subject is received. A score that indicates whether a presence of a plurality of comorbid ocular conditions is detected is generated in the eye of the subject using a deep learning model and the input data. A comorbidity output is generated based on the score. The comorbidity score may be a classification indicating whether the presence of the plurality of comorbid ocular conditions is detected.

公开(公告)号：US12090211B2

公开(公告)日：2024-09-17

申请号：US17990988

申请日：2022-11-21

Applicant: Genentech, Inc.

Inventor： Thomas Pillow ,  Peter Dragovich

IPC: A61K47/68 ,  A61K47/65 ,  C07K16/22 ,  C07K16/28

CPC classification number: A61K47/6803 ,  A61K47/65 ,  A61K47/6889 ,  C07K16/22 ,  C07K16/2863

Abstract: The subject matter described herein is directed to methods of preparing certain antibody-drug conjugates (ADCs) wherein the antibody is linked to the drug through a linker, wherein the drug contains a heteroaryl group having a secondary nitrogen, and the linker is attached to the drug via the secondary nitrogen. The resulting conjugates are useful in treating various diseases and conditions.