Muggio, Italy

Daniele Ramazzotti

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Daniele Ramazzotti

Introduction

Daniele Ramazzotti is a notable inventor based in Muggio, Italy. He has made significant contributions to the field of biomedical data modeling, particularly in understanding disease progression. His work is characterized by a focus on probabilistic causation, which sets it apart from traditional correlation-based methods.

Latest Patents

Ramazzotti holds a patent for "Methods, computer-accessible medium and systems to model disease progression using biomedical data from multiple patients." This innovative patent describes a system and method that reconstructs models based on probabilistic notions of causation. The approach addresses the challenges posed by noise in biological data, which can arise from intrinsic variability and measurement errors. By employing a shrinkage estimator, the method enhances reconstruction performance, demonstrating superior results on synthetic data and revealing biologically significant differences in real cancer datasets.

Career Highlights

Throughout his career, Daniele Ramazzotti has worked with prestigious institutions such as New York University and Università Degli Studi di Milano-Bicocca. His research has focused on developing efficient systems that can operate effectively even with a limited number of samples. This efficiency is crucial in the biomedical field, where data can often be scarce.

Collaborations

Ramazzotti has collaborated with notable colleagues, including Giulio Caravagna and Loes Olde Loohuis. These partnerships have contributed to the advancement of his research and the successful application of his innovative methods.

Conclusion

Daniele Ramazzotti's work exemplifies the intersection of innovation and biomedical research. His contributions to modeling disease progression have the potential to significantly impact the understanding and treatment of various diseases.

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