Sudbury, MA, United States of America

Steven Matthysse

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Innovations in Drug Screening by Steven Matthysse

Introduction

Steven Matthysse is an accomplished inventor based in Sudbury, MA (US). He has made significant contributions to the field of drug screening through his innovative methods and systems. With a focus on computational modeling based on biologically realistic neurons, Matthysse's work aims to enhance the efficacy of treatments for various disorders.

Latest Patents

Matthysse holds a patent for "Methods and systems for drug screening and computational modeling based on biologically realistic neurons." This patent describes a method for screening a test composition for potential efficacy in treating a disorder. The process involves creating a computer model that represents a volume of disease-afflicted neural tissue, which includes biologically realistic neurons exposed to the test composition. An initial excitation is provided to this model, and after a selected computation interval, a first outcome is determined. This outcome indicates the response of the model to the initial excitation and assesses whether the test composition has the potential to be effective in treating the disorder. Matthysse has 1 patent to his name.

Career Highlights

Steven Matthysse is associated with the McLean Hospital Corporation, where he applies his expertise in neuroscience and computational modeling. His work at this prestigious institution allows him to collaborate with leading professionals in the field and contribute to groundbreaking research.

Collaborations

One of Matthysse's notable coworkers is Peter J. Siekmeier. Their collaboration exemplifies the synergy that can occur when talented individuals work together in the pursuit of innovative solutions in drug screening.

Conclusion

Steven Matthysse's contributions to drug screening and computational modeling represent a significant advancement in the field of neuroscience. His innovative methods have the potential to improve treatment outcomes for various disorders, showcasing the importance of research and collaboration in driving medical advancements.

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