This inventor holds 9 USPTO granted patents and 5 published patent applications and 1 EPO patent. Top assignees: Neumora Therapeutics, Inc., Blackthorn Therapeutics, Inc., Blackthor Therapeutics, Ine.. Active years: 2021-2024.
Location History:
- South San Francisco, CA (US) (2021 - 2024)
- San Francisco, CA (US) (2022 - 2024)
Company Filing History:
5 out of 20 
3 out of 9 
1 out of 1 Years Active: 2021-2024
Title: Yuelu Liu: Innovator in Machine Learning for Mental Health Diagnostics
Introduction
Yuelu Liu is a prominent inventor based in South San Francisco, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of mental health diagnostics. With a total of 9 patents to his name, Liu's work is at the forefront of integrating technology with healthcare.
Latest Patents
Liu's latest patents include a machine learning-based diagnostic classifier. This system utilizes machine learning to generate a trans-diagnostic classifier that can concurrently diagnose multiple mental health disorders using a single questionnaire. The questionnaire consists of a series of questions, specifically 17, designed to autonomously screen subjects for various mental health conditions without the need for physician involvement.
Another notable patent is a system and method for identifying transdiagnostic features shared across mental health disorders. This innovative system evaluates the mental health of patients by processing answers from mental health questionnaires alongside unprocessed MRI data. The integration of machine learning models allows for a comprehensive mental health indication based on both questionnaire responses and MRI features.
Career Highlights
Throughout his career, Yuelu Liu has worked with notable companies such as Neumora Therapeutics, Inc. and Blackthorn Therapeutics, Inc. His experience in these organizations has further solidified his expertise in applying machine learning techniques to healthcare challenges.
Collaborations
Liu has collaborated with several professionals in his field, including Parvez Ahammad and Humberto Andres Gonzalez Cabezas. These collaborations have contributed to the advancement of his innovative projects and patents.
Conclusion
Yuelu Liu stands out as a key figure in the intersection of technology and mental health. His innovative patents and career achievements reflect his commitment to improving diagnostic methods through machine learning. Liu's work continues to pave the way for advancements in mental health diagnostics, showcasing the potential of technology in healthcare.