Dublin, Ireland

William Gallagher

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 16(Granted Patents)


Location History:

  • Rathgar, IE (2012)
  • Dublin, IE (2020)

Company Filing History:


Years Active: 2012-2020

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2 patents (USPTO):

Title: William Gallagher: Innovator in Cancer Risk Prediction and Image Analysis

Introduction

William Gallagher is a notable inventor based in Dublin, Ireland. He has made significant contributions to the fields of cancer research and image analysis. With a total of 2 patents, Gallagher's work focuses on innovative methods that enhance the understanding and prediction of cancer recurrence.

Latest Patents

Gallagher's latest patents include a groundbreaking method for predicting the risk of recurrence of cancer. This method involves assaying a cancer sample from an individual for positive expression of specific genes or proteins. The genes include FOXM1, UHRF1, PTTG1, E2F1, MYBL2, HMGB2, ATAD2, E2F8, ZNF367, and TCF19. Positive expression of at least two of these genes correlates with an increased risk of cancer recurrence compared to individuals who do not exhibit such expression.

Another significant patent is a method and system for image analysis. This invention relates to determining the level of expression of candidate objects of interest in a biological sample using automated image analysis systems. This innovative approach enhances the accuracy and efficiency of biological assessments.

Career Highlights

William Gallagher has worked with prestigious institutions, including University College Dublin and Trinity College Dublin. His experience in these academic environments has allowed him to contribute to cutting-edge research and development in his fields of expertise.

Collaborations

Gallagher has collaborated with notable colleagues such as Elton Rexhepaj and Donal Brennan. These partnerships have further enriched his research and innovation efforts.

Conclusion

William Gallagher stands out as an influential inventor whose work in cancer risk prediction and image analysis has the potential to significantly impact medical research and patient care. His innovative methods and collaborations continue to pave the way for advancements in these critical areas.

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