Rochester, MN, United States of America

William Victor Bobo

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by William Victor Bobo

Introduction

William Victor Bobo is an accomplished inventor based in Rochester, MN (US). He has made significant contributions to the field of analytics and machine learning, particularly in the context of clinical and omics data. His work focuses on improving the treatment of psychological conditions, such as major depressive disorder.

Latest Patents

William Victor Bobo holds a patent for an "Analytics and machine learning framework for actionable intelligence from clinical and omics data." This patent outlines methods for accurately predicting the dynamics of symptom response to drugs or other interventions. The methods aim to shorten the evaluation period for therapeutic interventions by utilizing both measured and self-reported symptom severity at multiple time points. The predictive model incorporates symptom classes and can be enhanced with metabolomics and genomics data, allowing for a more objective approach to diagnosing and treating psychological conditions.

Career Highlights

Bobo is affiliated with the University of Illinois, where he applies his expertise in analytics and machine learning to advance research in clinical settings. His innovative approaches have the potential to transform how psychological conditions are assessed and treated.

Collaborations

Some of his notable coworkers include Ravishankar Krishnan Iyer and Arjun Prasanna Athreya. Their collaborative efforts contribute to the ongoing research and development in the field of mental health interventions.

Conclusion

William Victor Bobo's work exemplifies the intersection of technology and healthcare, showcasing how innovations in analytics can lead to improved treatment outcomes for psychological conditions. His contributions are paving the way for more effective and objective methods in mental health care.

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