Company Filing History:
1 out of 20 
1 out of 832,912 Years Active: 2021-2024
Title: Jack Albright: Innovator in Medical Technology
Introduction
Jack Albright is a notable inventor based in Los Altos, California. He has made significant contributions to the field of medical technology, particularly in the areas of machine learning and health diagnostics. With a total of two patents to his name, Albright's work focuses on improving patient outcomes through innovative methodologies.
Latest Patents
One of Albright's latest patents is titled "Liver fat quantification from DEXA data." This exemplary method predicts adipose depots for patients by utilizing Dual-energy X-ray Absorptiometry (DEXA) scans. The process involves providing DEXA scan data to a trained machine-learning model, which has been developed using a comprehensive training dataset. This model predicts the adipose depots for patients, enhancing the accuracy of health assessments.
Another significant patent is related to the "Machine-learning-based forecasting of the progression of Alzheimer's disease." This invention employs a machine-learning algorithm that analyzes current and past clinical data to predict the future onset of mild cognitive impairment (MCI) and dementia. By utilizing a newly defined 'All-Pairs' technique, the algorithm correlates clinical data from various doctor visits, increasing the likelihood of early identification of Alzheimer's disease in patients.
Career Highlights
Throughout his career, Jack Albright has worked with various companies, including Insitro, Inc. His innovative approaches and dedication to improving healthcare technology have positioned him as a key figure in the industry. His patents reflect a commitment to leveraging technology for better health outcomes.
Collaborations
Albright has collaborated with notable professionals in his field, including David Amar and Christopher Probert. These partnerships have contributed to the development of his groundbreaking inventions.
Conclusion
Jack Albright's contributions to medical technology through his patents demonstrate his commitment to innovation and improving patient care. His work in machine learning and health diagnostics continues to pave the way for advancements in the medical field.