Karin Comer Knudson

Title: Karin Comer Knudson: Machine Learning for Clinical Trial Prediction.

Introduction

Karin Comer Knudson is an inventor based in Somerville, Massachusetts. Her patent work concerns using machine learning to predict the outcomes of clinical trials.

Latest Patents

Knudson is associated with 1 patent, titled “Predicting the Outcome of a Clinical Trial Using a Machine Learning Model.” The invention describes methods and systems for simulating a clinical trial’s outcome based on a simulated population whose members meet the trial’s inclusion criteria. An ensemble of machine learning models generates predicted response scores for each subject, and those scores are used to estimate the trial outcome.

Career Highlights

Knudson works at Neumora Therapeutics, Inc. Her patent reflects an application of machine learning to clinical research, where simulated populations and predicted responses can help assess potential trial outcomes.

Collaborations

Knudson’s listed coworker is Tathagata Banerjee. Their shared professional context at Neumora Therapeutics connects their work to the company’s research and development activities.

Conclusion

Karin Comer Knudson’s patent focuses on applying machine learning models to clinical trial simulations, highlighting a data-driven approach to predicting trial outcomes.