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Profile Details
Subject Matter Expertise
Services
Writing
Technical Writing
Research
Technology Scouting,
Scientific and Technical Research,
Systematic Literature Review
Consulting
Digital Strategy Consulting,
Healthcare Consulting,
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Product Development
Concept Development
Work Experience
MD PhD Candidate
Duke University
- Present 
Founder and Principal Consultant
Glass Box Medicine
June 2022 - Present
Founder / CEO
Cydoc
April 2018 - August 2025
MD & Computer Science PhD Candidate in the Medical Scientist Training Program
Duke University
June 2014 - May 2022
Education
MD
Duke University
June 2014 - May 2022
PhD Computer Science
Duke University
June 2014 - May 2022
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
Explainable multiple abnormality classification of chest CT volumes <head>
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</head> . Artificial Intelligence in Medicine.
Rachel L. Draelos, Jordan E. Ezekian, Farica Zhuang, Mary E. Moya-Mendez, Zhushan Zhang, Michael B. Rosamilia, Perathu K.R. Manivannan, Ricardo Henao, Andrew P. Landstrom(2022). GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes . Circulation: Arrhythmia and Electrophysiology. 15. (4). Ovid Technologies (Wolters Kluwer Health)
Michael P. Cary, Jr., Farica Zhuang, Rachel Lea Draelos, Wei Pan, Sathya Amarasekara, Brian J. Douthit, Yunah Kang, Cathleen S. Colón-Emeric(2021). Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture . Journal of the American Medical Directors Association. 22. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 291--296. Elsevier {BV}
Rachel Lea Draelos and David Dov and Maciej A. Mazurowski and Joseph Y. Lo and Ricardo Henao and Geoffrey D. Rubin and Lawrence Carin(2021). Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes . Medical Image Analysis. 67. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 101857. Elsevier {BV}
Michael P. Cary and Farica Zhuang and Rachel Lea Draelos and Wei Pan and Sathya Amarasekara and Brian J. Douthit and Yunah Kang and Cathleen S. Col{\'{o}}n-Emeric(2020). Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture . Journal of the American Medical Directors Association. Elsevier {BV}
(2016). Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits . Human Molecular Genetics.
Yichuan Liu and Jane F. Ferguson and Chenyi Xue and Rachel L. Ballantyne and Ian M. Silverman and Sager J. Gosai and Jacquelyn Serfecz and Michael P. Morley and Brian D. Gregory and Mingyao Li and Muredach P. Reilly(2014). Tissue-Specific RNA-Seq in Human Evoked Inflammation Identifies Blood and Adipose LincRNA Signatures of Cardiometabolic Diseases . Arteriosclerosis, Thrombosis, and Vascular Biology. 34. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 902--912. Ovid Technologies (Wolters Kluwer Health)
CONFERENCE PAPER
Hunter Gregory and Steven Li and Pouya Mohammadi and Natalie Tarn and Rachel Draelos and Cynthia Rudin(2020). A Transformer Approach to Contextual Sarcasm Detection in Twitter . Proceedings of the Second Workshop on Figurative Language Processing. Association for Computational Linguistics
Jerry Liu and Nathan O'Hara and Alexander Rubin and Rachel Draelos and Cynthia Rudin(2020). Metaphor Detection Using Contextual Word Embeddings From Transformers . Proceedings of the Second Workshop on Figurative Language Processing. Association for Computational Linguistics
Ratings and Comments
Total Projects Awarded:
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