公开(公告)号：US20240221950A1

公开(公告)日：2024-07-04

申请号：US18557873

申请日：2022-04-28

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Matthew KOLLADA ,  Tathagata BANERJEE

IPC: G16H50/20 ,  A61B5/00 ,  G16H10/20

CPC classification number: G16H50/20 ,  A61B5/0077 ,  A61B5/4076 ,  A61B5/4842 ,  G16H10/20

Abstract: The disclosed technology is directed to improvements in multi-modal and multi-sensor diagnostic devices, that utilize machine learning algorithms to diagnose patients based on data from different sensor types and formats. Current machine learning algorithms that classify a patient's diagnosis focus on one modality of data output from one type of sensor or device. This is because, among other reasons, it is difficult determine which modalities or features from different modalities will be most important to a diagnosis, and also very difficult to identify an algorithm that can effectively to combine them to diagnose health disorders.

公开(公告)号：US12002590B2

公开(公告)日：2024-06-04

申请号：US18311087

申请日：2023-05-02

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Monika Sharma Mellem ,  Yuelu Liu ,  Parvez Ahammad ,  Humberto Andres Gonzalez Cabezas ,  William J. Martin ,  Pablo Christian Gersberg

IPC: G16H50/30 ,  G16H10/60 ,  G16H50/20

CPC classification number: G16H50/30 ,  G16H10/60 ,  G16H50/20

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions is selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

公开(公告)号：US20240136058A1

公开(公告)日：2024-04-25

申请号：US18542321

申请日：2023-12-15

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Tathagata Banerjee ,  Matthew Edward Kollada

IPC: G16H40/20 ,  G06N3/02 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06V10/77 ,  G06V10/774 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H40/20 ,  G06N3/02 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0016 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for jointly training an encoder neural network and a decoder neural network. In one aspect, a method comprises, for each latent dimension in a proper subset of a plurality of latent dimensions of a latent space: processing a predefined embedding that represents the latent dimension using the decoder neural network to generate multi-modal data, having a plurality of feature dimensions, that defines a predicted multi-modal data archetype corresponding to the latent dimension; and updating the values of the set of decoder parameters using gradients of an archetype loss function that measures an error between: (i) a predicted multi-modal data archetype corresponding to the latent dimension, and (ii) a target multi-modal data archetype corresponding to the latent dimension.

公开(公告)号：US11842793B2

公开(公告)日：2023-12-12

申请号：US17166952

申请日：2021-02-03

Applicant: NEUMORA THERAPEUTICS, INC. ,  Yale University

Inventor： John D. Murray ,  Alan Anticevic ,  William J. Martin

IPC: G16B20/00 ,  G16H20/10 ,  G16B40/00 ,  G16H30/20 ,  G16H50/20 ,  G16B25/10

CPC classification number: G16B20/00 ,  G16B25/10 ,  G16B40/00 ,  G16H20/10 ,  G16H50/20 ,  G16H30/20

Abstract: The present tools and methods for detecting, diagnosing, predicting, prognosticating, or treating a neurobehavioral phenotype in a subject. These tools and methods relates to a genotype and neurophenotype topography-based approach for analyzing brain neuroimaging and gene expression maps to identify drug targets associated with neurobehavioral phenotypes and, conversely, neurobehavioral phenotypes associated with potential drug targets, to develop rational design and application of pharmacological therapeutics for brain disorders, and to provide methods and tools for treatment of subjects in need of neurological therapy.

公开(公告)号：US20230343461A1

公开(公告)日：2023-10-26

申请号：US18209866

申请日：2023-06-14

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Monika Sharma MELLEM ,  Yuelu Liu ,  Parvez Ahammad ,  Humberto Andres Gonzalez Cabezas ,  William J. Martin ,  Pablo Christian Gersberg

IPC: G16H50/30 ,  G16H50/20 ,  G16H10/60

CPC classification number: G16H50/30 ,  G16H50/20 ,  G16H10/60

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions are selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

公开(公告)号：US12232848B2

公开(公告)日：2025-02-25

申请号：US17603779

申请日：2020-04-29

Applicant: Neumora Therapeutics, Inc.

Inventor： John Chan ,  Sandeep R. Datta ,  Alexander B. Wiltschko

IPC: G06V40/16 ,  A61B5/00 ,  G06T7/00 ,  G06T7/70 ,  G06V10/764 ,  G06V10/82 ,  G06V40/20

Abstract: A system for facial analysis includes a camera, a data storage device and a data processing system. The camera takes video of a subject's face, and the data storage device receives and stores the video. The data processing system extracts a pose of the subject's face, and a representation of the subject's facial gesture state. The pose includes the angle and position of the subject's face. The representation includes facial keypoints that are a collection of points on the subject's face. The system then concatenates each data stream to align the data streams in time, extracts a plurality of facial syllables from the aligned data streams, and compiles the facial syllables into a series of state sequences. Based on the series of state sequences, the system extracts a behavioral fingerprint for the subject that provides a summary of the subject's state over a given period of time.

公开(公告)号：US12152038B2

公开(公告)日：2024-11-26

申请号：US17194069

申请日：2021-03-05

Applicant: Neumora Therapeutics, Inc.

Inventor： Robert M. Jones ,  Mariangela Urbano ,  Gary Brandt ,  Mark Chambers ,  David Hardick ,  Chris Knight ,  Jason Tierney ,  Chris Lock

IPC: C07D487/10 ,  A61P9/00 ,  A61P25/00 ,  A61P25/18 ,  A61P25/20 ,  A61P25/22 ,  A61P25/24 ,  C07D519/00

Abstract: Compounds are provided that antagonize vasopressin receptors, particularly the V1a receptor products containing such compounds, as well as to methods of their use and synthesis. Such compounds have the structure of Formula (I), or a pharmaceutically acceptable isomer, racemate, hydrate, solvate, isotope, or salt thereof: wherein Q1, Q2, Q3, R2a, R2b, R3 and X are as defined herein.

公开(公告)号：US12087446B2

公开(公告)日：2024-09-10

申请号：US17740713

申请日：2022-05-10

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Matthew Kollada ,  Tathagata Banerjee

IPC: G16H50/20 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/16 ,  G06N20/00 ,  G16H10/20

CPC classification number: G16H50/20 ,  A61B5/0205 ,  A61B5/165 ,  A61B5/7264 ,  G06N20/00 ,  G16H10/20

Abstract: Methods and systems are provided for diagnosing mental health conditions using multiple data modalities. In particular, a trained machine learning model is used for mental health diagnosis, wherein the trained model utilizes a dynamic fusion approach for capturing and preserving interactions as well as timing information between the multiple data modalities.

公开(公告)号：US20240294492A1

公开(公告)日：2024-09-05

申请号：US18628594

申请日：2024-04-05

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Paul Dransfield ,  Dilinie Fernando ,  James Harvey ,  Brian Sparling ,  John Stellwagen ,  Zhihua Ma ,  Anne-Marie Beausoleil ,  Ryan Hudson

IPC: C07D401/04

CPC classification number: C07D401/04

Abstract: The present disclosure relates to compounds of Formula (I).




and pharmaceutically acceptable salts thereof, wherein the variable are as described herein, and compositions and uses of same for treating neurological disorders.

公开(公告)号：US20240197220A1

公开(公告)日：2024-06-20

申请号：US18511409

申请日：2023-11-16

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Qingzhu GAO ,  Humberto Andres GONZALEZ CABEZAS ,  Parvez AHAMMAD ,  Yuelu LIU

IPC: A61B5/16 ,  G16H10/20 ,  G16H10/60 ,  G16H20/10 ,  G16H20/70 ,  G16H50/20

CPC classification number: A61B5/165 ,  G16H10/20 ,  G16H10/60 ,  G16H20/10 ,  G16H20/70 ,  G16H50/20

Abstract: A system includes a display device, a user interface, a memory, and a control system. The memory contains machine readable medium including machine executable code storing instructions for performing a method. The control system is coupled to the memory, and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to display, on the display device, a series of questions from mental health questionnaires. The series of questions includes text and answers for each question. From the user interface, a selection of answers of each of the displayed series of questions is received from a patient. Using a Bayesian Decision List, the received selection of answers is processed to output an indication of mental health of the patient. The indication of mental health identifies a kappa opioid receptor antagonist to which the patient would likely be a higher responder.