This inventor holds 1 USPTO granted patent. Top assignee: Bayer Corporation. Active years: 2001.
Company Filing History:
Years Active: 2001
Title: Albert Greenbaum: Innovator in Medical Visualization
Introduction
Albert Greenbaum is a notable inventor based in Spring Valley, NY (US). He has made significant contributions to the field of medical instrumentation through his innovative patent. His work focuses on enhancing the visualization of data from medical laboratory instruments, which is crucial for accurate diagnostics and analysis.
Latest Patents
Greenbaum holds a patent for a "Method and apparatus for generating a smooth normalized star diagram." This invention provides a system and method for displaying parameters in a smoothed normalized star diagram. The parameters are received from a medical laboratory instrument and processed to calculate a normalized parameter value for each parameter using a predetermined mean and standard deviation. The resulting normalized parameter values are then scaled using a range restricting function. Each scaled parameter is assigned to a spoke, and rays are drawn between adjacent spokes at a small angular interval. The ends of the rays are joined by line segments, constructing a smooth overall diagram that enhances data interpretation.
Career Highlights
Greenbaum is currently employed at Bayer Corporation, where he continues to develop innovative solutions in the medical field. His work has been instrumental in improving the way medical data is visualized and understood, ultimately aiding healthcare professionals in making informed decisions.
Collaborations
Throughout his career, Greenbaum has collaborated with talented individuals such as Martin Sorette and Jolanta Kunicka. These partnerships have fostered a creative environment that encourages the development of groundbreaking ideas and technologies.
Conclusion
Albert Greenbaum's contributions to medical visualization through his innovative patent demonstrate his commitment to improving healthcare technology. His work not only enhances the understanding of complex medical data but also supports healthcare professionals in their critical decision-making processes.