This inventor holds 1 USPTO granted patent and 3 published patent applications and 2 EPO patents. Top assignee: Hoffmann-La Roche Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Yan-Ping Zhang Schaerer: Innovator in Machine Learning for Visual Acuity Prediction
Introduction
Yan-Ping Zhang Schaerer is a notable inventor based in Basel, Switzerland. He has made significant contributions to the field of machine learning, particularly in predicting future visual acuity. His innovative approach combines advanced technology with medical applications, showcasing the potential of machine learning in healthcare.
Latest Patents
Yan-Ping Zhang Schaerer holds a patent for "Machine-learning techniques for prediction of future visual acuity." This patent describes methods and systems that utilize machine-learning models to predict a subject's future visual acuity. The process involves analyzing images of the retina to detect specific segments and generating metrics that characterize these segments. A second machine-learning model then processes these metrics to predict future visual acuity outcomes.
Career Highlights
Throughout his career, Yan-Ping has worked with prominent companies in the pharmaceutical and healthcare sectors. Notably, he has been associated with Hoffmann-La Roche Inc. and F. Hoffmann-La Roche AG. His work in these organizations has allowed him to apply his expertise in machine learning to real-world medical challenges.
Collaborations
Yan-Ping has collaborated with talented professionals in his field, including Filippo Arcadu and Fethallah Benmansour. These collaborations have further enriched his research and development efforts, leading to innovative solutions in visual acuity prediction.
Conclusion
Yan-Ping Zhang Schaerer is a pioneering inventor whose work in machine learning has the potential to transform the way visual acuity is predicted and managed. His contributions to the field highlight the intersection of technology and healthcare, paving the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
