Nancy McMillan

Title: Nancy McMillan: Innovator in Disease Prediction and Genomic Analysis

Introduction

Nancy McMillan is a prominent inventor based in Columbus, OH (US). She has made significant contributions to the fields of genomic analysis and disease prediction. With a total of 3 patents, her work has the potential to impact healthcare and research significantly.

Latest Patents

One of her latest patents is titled "Methods of analyzing massively parallel sequencing data." This method involves selecting a first plurality of text strings representing nucleotide sequences read by a massively parallel sequencing instrument. The process includes comparing these text strings to determine abundance counts for each unique string and identifying noise responses to establish a method detection limit.

Another notable patent is "Use of web-based symptom checker data to predict incidence of a disease or disorder." This system utilizes a web-based symptom checker to produce a structured dataset, which is then analyzed to predict the incidence of diseases or disorders. The method includes creating a time series model using weekly illness incidence data to forecast future occurrences.

Career Highlights

Nancy McMillan is associated with the Battelle Memorial Institute, where she applies her expertise in innovative research. Her work focuses on developing methods that enhance the understanding of genetic data and improve disease prediction capabilities.

Collaborations

Some of her notable coworkers include Jingyu Feng and Kathryn Stamps, who contribute to her research endeavors.

Conclusion

Nancy McMillan's innovative work in genomic analysis and disease prediction showcases her commitment to advancing healthcare technology. Her patents reflect her dedication to improving methods for analyzing complex data and predicting health outcomes.