Maximilian Würstle

Title: Maximilian Würstle: Innovator in Infectious Disease Notification and CRISPR Technologies

Introduction

Maximilian Würstle is a notable inventor based in Baiersdorf, Germany. He has made significant contributions to the fields of healthcare technology and genetic engineering. With a total of two patents to his name, Würstle's work focuses on innovative solutions for infectious disease notification and advancements in CRISPR technology.

Latest Patents

Würstle's latest patents include a "System and method for infectious disease notification." This system utilizes a machine learning monitoring algorithm trained on extensive electronic medical record (EMR) datasets. It calculates the probability of an infectious disease based on provided EMR data and compares it to known values. The system is designed to output notifications when the calculated probability exceeds a specified threshold.

Another significant patent is for "Target irrelevant guide RNA for CRISPR." This invention relates to a method for obtaining an enriched population of target polynucleotides using synthetic single guide RNA (sgRNA). It also includes methods for obtaining a pool of target-irrelevant sgRNAs, as well as a kit comprising these sgRNAs. This work enhances the capabilities of sgRNA-guided nucleic acid-binding proteins.

Career Highlights

Throughout his career, Maximilian Würstle has worked with prominent companies such as Siemens Healthcare GmbH and Siemens Healthcare Diagnostics GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas in healthcare technology.

Collaborations

Würstle has collaborated with talented individuals in his field, including Yiwei Huang and Tivadar Mach. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Maximilian Würstle is a distinguished inventor whose work in infectious disease notification and CRISPR technology showcases his commitment to innovation in healthcare. His patents reflect a deep understanding of both machine learning and genetic engineering, positioning him as a key figure in these evolving fields.