London, United Kingdom

Anne Mottram

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Google Inc.. Active years: 2022.


% Patents Active = 100.0

 

Average Co-Inventor Count = 13.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Anne Mottram

Introduction

Anne Mottram is a distinguished inventor based in London, GB. She has made significant strides in the field of health technology, particularly through her innovative use of neural networks. Her work focuses on predicting future adverse health events, which has the potential to transform patient care and health management.

Latest Patents

Anne Mottram holds a patent titled "Prediction of future adverse health events using neural networks by pre-processing input sequences to include presence features." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting future adverse health events using neural networks. One of the methods involves receiving electronic health record data for a patient and generating an input sequence that includes feature representations at various time steps. The process includes determining whether numerical features occurred during specific time windows and generating presence features to identify these occurrences. The input sequence is then processed using a neural network to predict the likelihood of adverse health events for the patient.

Career Highlights

Anne Mottram is currently employed at Google Inc., where she continues to develop her innovative ideas and contribute to advancements in health technology. Her work is characterized by a strong commitment to improving healthcare outcomes through technology.

Collaborations

Some of her notable coworkers include Jack William Rae and Nenad Tomasev, who collaborate with her on various projects within the realm of health technology.

Conclusion

Anne Mottram's contributions to the field of health technology through her innovative patent demonstrate her commitment to enhancing patient care. Her work with neural networks is paving the way for future advancements in predicting health events, showcasing the importance of innovation in healthcare.

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