Company Filing History:


Years Active: 2018-2023
Title: Innovations by Tobias Elze
Introduction
Tobias Elze is an accomplished inventor based in Boston, MA, known for his contributions to the fields of clinical assessments and visual field modeling. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of data collection in clinical settings.
Latest Patents
One of Tobias Elze's latest patents is titled "Method and system for adaptive scheduling of clinical assessments." This invention provides methods and systems for adaptive assessment of a physical subject, allowing for efficient data collection and modification of assessment schedules based on analyses. The system controls the timing of each assessment to gather data under the most informative conditions, significantly minimizing the frequency of data collection without sacrificing accuracy or precision. This innovation enhances test reliability by reducing redundancy and improving the statistical power of clinical trials.
Another notable patent is "Spatial modeling of visual fields." This method involves determining a probabilistic model that represents threshold sensitivities across the visual field. The model is based on data, connection strengths, and noise values, and may include a continuous probability distribution. This approach aims to improve the understanding of visual field sensitivities and enhance related clinical assessments.
Career Highlights
Tobias Elze has worked with prestigious organizations such as the Schepens Eye Research Institute and Northeastern University. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing significantly to the field of clinical research.
Collaborations
Throughout his career, Tobias has collaborated with notable colleagues, including Peter Bex and Philipp Benner. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in research.
Conclusion
Tobias Elze's innovative work in adaptive scheduling and visual field modeling showcases his commitment to improving clinical assessments. His patents reflect a deep understanding of the complexities involved in data collection and analysis, ultimately contributing to advancements in medical research.