This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Bayer Technology Services Gmbh. Active years: 2013.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2013
Title: The Innovative Contributions of Harald Kallabis
Introduction
Harald Kallabis is a notable inventor based in Leverkusen, Germany. He has made significant contributions to the field of biomarker development, particularly in the context of therapeutic treatments. His work focuses on utilizing patient data to enhance the prognosis of treatment outcomes.
Latest Patents
Kallabis holds a patent for a "Method for identifying predictive biomarkers from patient data." This invention relates to a method for developing a biomarker that predicts the results of therapeutic treatments based on data obtained from clinical studies. The method involves subdividing data that remains unchanged by therapy into diagnostic and genomic parameters. The marker is defined by a combination of these parameters, with a focus on specifying the maximum number of parameters to define the marker and the complexity of the system from the outset. The search for defining parameters is carried out through the sequential combination of clinical and genomic parameters.
Career Highlights
Harald Kallabis is associated with Bayer Technology Services GmbH, where he applies his expertise in biomarker research. His innovative approach has the potential to significantly impact the field of personalized medicine and improve patient outcomes.
Collaborations
Kallabis has collaborated with notable colleagues, including Andreas Schuppert and Stephan Schwers, to advance research in biomarker identification and therapeutic efficacy.
Conclusion
Harald Kallabis's contributions to the field of biomarker development exemplify the importance of innovation in improving therapeutic outcomes. His work continues to pave the way for advancements in personalized medicine.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
