Company Filing History:
Years Active: 2023-2024
Title: Simon Lanzmich: Innovator in Computational Pathology
Introduction
Simon Lanzmich is a notable inventor based in Munich, Germany. He has made significant contributions to the field of computational pathology, particularly in the development of innovative methods for tissue analysis. With a focus on enhancing the accuracy of cancer detection, Lanzmich has been awarded 2 patents for his groundbreaking work.
Latest Patents
One of Simon Lanzmich's latest patents involves using a first stain to train a model to predict the region stained by a second stain. This invention utilizes a convolutional neural network to predict which regions of a tissue slice would be stained by a first stain, based solely on tissue stained by a second stain. The process eliminates the need for the first stain to mark cancerous regions on other tissue slices stained with the second stain. The training slice is stained with both a first immunohistochemical stain and a second counterstain. Image analysis identifies a target region of the training slice based on the first stain. A set of parameters for associated mathematical operations is optimized to train the model to classify pixels of the image as belonging to the target region based on the second stain, without relying on the first stain. The trained parameters are stored in a database and can be applied to other images of tissue not stained with the first stain.
Career Highlights
Simon Lanzmich is currently employed at AstraZeneca Computational Pathology GmbH, where he continues to advance the field of computational pathology. His work focuses on developing innovative solutions that improve the accuracy and efficiency of cancer diagnostics.
Collaborations
Some of Simon Lanzmich's notable coworkers include Tobias Wiestler and Nicolas Brieu. Their collaborative efforts contribute to the ongoing advancements in computational pathology and the development of new technologies for tissue analysis.
Conclusion
Simon Lanzmich is a pioneering inventor whose work in computational pathology is making a significant impact on cancer detection and diagnosis. His innovative patents and contributions to the field are paving the way for more accurate and efficient diagnostic methods.