
Wei-Qi Wei,MD,PhD
@weiweiqi
Assoc Professor of Biomedical Informatics; leader of high-throughput and precision phenotyping; devotee of problem-solving using data; Tweets are my own views
ID: 98446553
http://Phenotyping.org 21-12-2009 19:00:27
186 Tweet
254 Followers
160 Following

Congratulations to the team and especially to Monika Grabowska ( Monika Grabowska ) for her first first-author JAMIA paper. Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records academic.oup.com/jamia/article-…


Our recent research paper demonstrates how LLM can streamline the creation of electronic health record phenotyping algorithms. @vumcdbmi Chao Yan Monika Grabowska Brad Malin @vekerchberger Matt Krantz, MD Qiping Feng #phenotyping academic.oup.com/jamia/article/…


It's my pleasure to have been selected as 2024 Chancellor Faculty Fellows. My lab remains committed to contributing to phenotyping and advancing precision medicine. Thank you, Peter Embí, MD, MS,S. Trent Rosenbloom, Brad Malin, @vumcdbmi, and all my other friends! news.vumc.org/2024/06/11/202…




Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study academic.oup.com/jamiaopen/arti… Monika Grabowska , Eric Kerchberger, Nicholas Wan

A Vanderbilt Health research team, including Wei-Qi Wei,MD,PhD and QiPing Feng, PhD, will perform a search for any drugs approved for other diseases that could warrant laboratory study, preparatory to clinical testing, for treating #Alzheimers & related #dementia. news.vumc.org/2025/03/17/whe…


Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records academic.oup.com/jamia/article-… Chao Yan Monika Grabowska @vekerchberger Josh Denny Qiping Feng Brad Malin @vumcdbmi
