Invention Grant
- Patent Title: Multimodal biomarkers predictive of transdiagnostic symptom severity
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Application No.: US17270780Application Date: 2019-08-29
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Publication No.: US11289187B2Publication Date: 2022-03-29
- Inventor: Monika Sharma Mellem , Yuelu Liu , Parvez Ahammad , Humberto Andres Gonzalez Cabezas , Matthew Kollada
- Applicant: Blackthorn Therapeutics, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Blackthorn Therapeutics, Inc.
- Current Assignee: Blackthorn Therapeutics, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Nixon Peabody LLP
- International Application: PCT/US2019/048809 WO 20190829
- International Announcement: WO2020/047253 WO 20200503
- Main IPC: G16H20/70
- IPC: G16H20/70 ; G16H10/20 ; G16H50/20 ; G06T7/00

Abstract:
The method for evaluating mental health of a patient includes displaying a series of inquiries from mental health questionnaires on a display device. Each inquiry of the series of inquiries includes text and a set of answers. A series of selections is received from a user interface. Each selection of the series of selections is representative of an answer of the set of answers for each corresponding inquiry in the series of inquiries. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with a patient. Using a machine learning model, the series of selections and the unprocessed MRI data are processed. The series of selections being processed corresponds to the series of inquiries. A symptom severity indicator for a mental health category of the patient is outputted.
Public/Granted literature
- US20210358594A1 MULTIMODAL BIOMARKERS PREDICTIVE OF TRANSDIAGNOSTIC SYMPTOM SEVERITY Public/Granted day:2021-11-18
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