Lausanne, Switzerland

Marzia De Lucia


 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Marzia De Lucia: Innovator in Predictive Medicine

Introduction

Marzia De Lucia is a notable inventor based in Lausanne, Switzerland. She has made significant contributions to the field of predictive medicine, particularly in understanding comatose patients. Her innovative approach combines medical knowledge with advanced technology to enhance patient care.

Latest Patents

Marzia De Lucia holds a patent for a groundbreaking invention titled "Method for predicting awakening in a comatose patient and computer-implemented method thereof." This invention relates to a method for predicting awakening in a comatose patient based on the progression of auditory discrimination during early stages of coma. EEG measures are acquired from the patient during two distinct periods when the patient is exposed to auditory stimuli comprising repeated standard and deviant sounds. The first period occurs when the comatose patient is in a hypothermia state, and the second period occurs when the patient is in a normal temperature state, preferably within 2-3 days from the onset of the coma. The invention further relates to a computer-implemented method thereof. Marzia De Lucia has 1 patent to her name.

Career Highlights

Throughout her career, Marzia has worked with esteemed institutions, including the Centre Hospitalier Universitaire Vaudois. Her work in these organizations has allowed her to develop and refine her innovative methods in patient care and predictive medicine.

Collaborations

Marzia has collaborated with notable professionals in her field, including Athina Tzovara. These collaborations have contributed to her research and the development of her patented methods.

Conclusion

Marzia De Lucia is a pioneering inventor whose work in predicting awakening in comatose patients represents a significant advancement in medical technology. Her contributions are poised to improve patient outcomes and enhance the understanding of coma recovery.

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