This inventor holds 1 USPTO granted patent. Top assignees: Duke University, Emory University, The Henry M. Jackson for the Advancement of Military Medicine, Inc.. Active years: 2026.
Company Filing History:
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1 out of 1 Years Active: 2026
Title: Felipe Lisboa: Innovator in Machine Learning for Clinical Outcomes
Introduction
Felipe Lisboa is an accomplished inventor based in Bethesda, MD (US). He has made significant contributions to the field of machine learning, particularly in predicting clinical outcomes. His innovative approach aims to enhance the understanding of health risks before symptoms manifest.
Latest Patents
Felipe holds a patent titled "Use of Machine Learning Models for Prediction of Clinical Outcomes." This patent describes methods and systems for predicting if a subject has an increased risk of developing one or more clinical outcomes. The technology allows for predictions to be made prior to the detection of symptoms, thereby providing valuable insights into patient care.
Career Highlights
Throughout his career, Felipe has worked with notable organizations, including the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. and the United States as represented by the Secretary of the Navy. His work in these institutions has allowed him to apply his expertise in machine learning to real-world medical challenges.
Collaborations
Felipe has collaborated with esteemed colleagues such as Seth A. Schobel and Vivek Khatri. These partnerships have further enriched his research and development efforts in the field of clinical predictions.
Conclusion
Felipe Lisboa's innovative work in machine learning for clinical outcomes exemplifies the potential of technology to transform healthcare. His contributions are paving the way for more proactive approaches to patient care and risk assessment.