公开(公告)号：US20230343463A1

公开(公告)日：2023-10-26

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 ,  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 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：US20240062847A1

公开(公告)日：2024-02-22

申请号：US18487839

申请日：2023-10-16

Applicant: NEUMORA THERAPEUTICS, INC. ,  YALE UNIVERSITY

Inventor： John D. MURRAY ,  Alan ANTICEVIC ,  William J. MARTIN

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

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

Abstract: The present disclosure relates to computer generated topographies from computer correlations of neurobehavioral phenotype mapping data and gene expression mapping data. Neurobehavioral phenotype mapping data is obtained for a selected phenotype and correlated with gene expression mapping data for one or more genes to define a phenotype-gene pair topography for each phenotype-gene pair. A score for each phenotype-gene pair is determined based on the correlation. The scores are used to identify genes, or drug targets, associated with the respective gene of the respective phenotype-gene pair. Conversely, gene expression mapping data is obtained for a selected gene and correlated with neurobehavioral phenotype mapping data for one or more phenotypes to define a gene-phenotype topography for each gene-phenotype pair. A score for each gene-phenotype pair is determined based on the correlation. The scores are used to identify a phenotype associated with the respective phenotype-gene pair.