Ryan Mork

Title: Ryan Mork - Innovator in Medical Data Analysis

Introduction

Ryan Mork is an accomplished inventor based in Chicago, IL (US). He has made significant contributions to the field of medical data analysis, holding 2 patents that focus on innovative methods for processing and visualizing patient data.

Latest Patents

One of Ryan's latest patents is titled "GANs for latent space visualizations." This patent provides a method for analyzing patient data by utilizing latent space representations, which include genetic data from multiple patients. The method involves processing these representations through a trained model to generate images associated with each patient. These images are then grouped and displayed to users for further analysis.

Another notable patent is "Unsupervised learning and prediction of lines of therapy from high-dimensional longitudinal medications data." This invention outlines a method for labeling medications administered to patients as a line of therapy. It includes identifying medical records, creating treatment intervals, and refining these intervals to accurately label potential lines of therapy based on maximum likelihood estimation.

Career Highlights

Ryan has worked with prominent companies in the healthcare technology sector, including Tempus AI, Inc. and Tempus Labs, Inc. His experience in these organizations has allowed him to develop and refine his innovative approaches to medical data analysis.

Collaborations

Ryan has collaborated with various professionals in his field, including Mathew J Barber, enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Ryan Mork is a notable inventor whose work in medical data analysis is paving the way for advancements in patient care. His innovative patents reflect his commitment to improving healthcare through technology.