Dany Michael Haddad

Title: Dany Michael Haddad: Inventor in Clinical Data and Cohort Selection

Introduction

Dany Michael Haddad is an inventor based in Austin, Texas, whose work includes machine-learning applications for electronic health records and clinical research. He is associated with Tempus Labs, Inc. and Tempus AI, Inc. His patent portfolio includes 2 patents.

Latest Patents

Haddad’s listed patents address the use of computational models to support healthcare data analysis and research.

“Systems, Methods, and Articles for Imputing Directed Temporal Measurements” describes using a trained machine-learning model with an attention module to predict a data element in a subject’s electronic health record. The method processes a prediction query alongside observations about the subject and provides a predicted characteristic as output.

“Computer System and Method for Determining Candidates for Inclusion Within a Cohort” describes a system that evaluates medical records against clinical eligibility criteria. A model ranks potential candidates according to the relevance of their medical histories, and the system uses that ranking to select subjects for a cohort.

Career Highlights

Haddad’s listed work connects machine learning with clinical data, including the prediction of health-record information and the identification of candidates for research cohorts. His association with Tempus Labs, Inc. and Tempus AI, Inc. places these inventions in the context of companies working with healthcare and data-driven technologies.

Collaborations

Haddad’s listed coworkers include Riccardo Miotto and Samuel Peter Heilbroner. Their names provide context for the professional network associated with his work.

Conclusion

Dany Michael Haddad’s patents focus on applying machine learning to clinical records and cohort selection, reflecting an emphasis on computational tools for healthcare research.