Castelnuovo Berardenga, Italy

Filiberto Maria Severi



Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Filiberto Maria Severi: Innovator in Fetal Weight Estimation

Introduction

Filiberto Maria Severi is a notable inventor based in Castelnuovo Berardenga, Italy. He has made significant contributions to the field of medical technology, particularly in the area of fetal weight estimation. His innovative approach combines ultrasonically measured fetal biometric parameters with physiological and phenomenological pregnancy parameters to enhance the accuracy of fetal weight predictions.

Latest Patents

Severi holds a patent for a method and system for fetal weight estimation. This method involves the ultrasonic measurement of fetal biometric parameters, followed by the determination of various pregnancy parameters across multiple sample cases. The fetal weight for each sample case is accurately determined through precision weighing at birth. A comprehensive database is created from these known sample cases, allowing for the generation of mathematical prediction models. For any case requiring fetal weight prediction, the relevant biometric parameters are measured, and the weight is predicted using a sophisticated mathematical model, specifically a multinormal probabilistic model.

Career Highlights

Throughout his career, Severi has worked with esteemed companies such as Esoate S.p.a. and Esaote S.p.a. His experience in these organizations has contributed to his expertise in medical technology and innovation.

Collaborations

Severi has collaborated with notable professionals in his field, including Felice Petraglia and Paolo Barbini. These collaborations have likely enriched his work and expanded the impact of his inventions.

Conclusion

Filiberto Maria Severi is a distinguished inventor whose work in fetal weight estimation showcases the intersection of technology and healthcare. His innovative methods have the potential to improve prenatal care and outcomes for expectant mothers.

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