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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Dr. Rachel D.に依頼
United States

MD & AI PhD - Healthcare AI Physician Scientist

プロフィール概要
専門分野
サービス
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
職務経験

MD PhD Candidate

Duke University

- 現在

Founder and Principal Consultant

Glass Box Medicine

6月 2022 - 現在

Founder / CEO

Cydoc

4月 2018 - 8月 2025

MD & Computer Science PhD Candidate in the Medical Scientist Training Program

Duke University

6月 2014 - 5月 2022

学歴

MD

Duke University

6月 2014 - 5月 2022

PhD Computer Science

Duke University

6月 2014 - 5月 2022

認定資格
  • 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
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}
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