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.