Wei-Qi Wei,MD,PhD

Professor of Biomedical Informatics; A scientific leader in longitudinal clinical evidence and real-world AI; Tweets are my own views

[Wei-Qi Wei,MD,PhD @weiweiqi]

We integrates genetically predicted transcriptomic signatures, drug perturbation screening, longitudinal EHR and human cortical organoids to build a scalable framework for Alzheimer’s drug repurposing. Aspirin emerged as a reproducible signal.
https://t.co/pp17VgtfO3

[Wei-Qi Wei,MD,PhD @weiweiqi]

Our new study shows that grounding LLMs in clinical guidelines can substantially improve extraction of genome-informed recommendations from EHR notes. A promising step toward scalable, real-world evaluation of precision medicine implementation. https://t.co/BZaNOC1kMo

[Wei-Qi Wei,MD,PhD @weiweiqi]

Nature Digital Medicine has announced a special collection, "Evaluating the Real-World Clinical Performance of AI". I will be serving as a guest editor and would like to invite you to consider submitting your work. The Collection page is https://t.co/aZX50tWTJ9

[Wei-Qi Wei,MD,PhD @weiweiqi]

Let’s rethink how we harness the semi-structured, high-value data buried in EHRs.

Leveraging Natural Language Processing for Echocardiographic Data Extr... https://t.co/6DxhsM8X5Y

[Wei-Qi Wei,MD,PhD @weiweiqi]

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records https://t.co/7VYpworokw @yanchao0222 @monikagrab_ @vekerchberger @jdnashville @QiPingFeng @bradmalin @vumcdbmi

[Vanderbilt University Medical Center @VUMCDiscoveries]

A @VUMChealth research team, including @weiweiqi 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.
https://t.co/lYEotaCvXv

[Wei-Qi Wei,MD,PhD @weiweiqi]

Where are all the Alzheimer’s drugs? https://t.co/543LUAqv2E

[Wei-Qi Wei,MD,PhD @weiweiqi]

Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study https://t.co/7v8w2wUREf @monikagrab_ , @EKerchberger, @nicholas_wan

[Wei-Qi Wei,MD,PhD @weiweiqi]

#PLOSONE: Improving topic modeling performance on social media through semantic relationships within biomedic ... https://t.co/C6sboYjLcm

[Wei-Qi Wei,MD,PhD @weiweiqi]

@yanchao0222 @NLM_NIH @bradmalin @genomemom @chenyong1203 @feiwang03 @paul_a_harris @jsancker @vumcdbmi Great news!

[Wei-Qi Wei,MD,PhD @weiweiqi]

@DrBinChen @vumcdbmi @VUMCgenetics @vandy_biostat @VUMC_heart Thank you, Bin!

[Wei-Qi Wei,MD,PhD @weiweiqi]

Absolutely thrilled to be working on this project, and congratulations to the team!
$3.4 million research grant targets risk of heart attack, stroke https://t.co/T06qCb7KfL @vumcdbmi, @VUMCgenetics, @vandy_biostat , and @VUMC_heart

[Wei-Qi Wei,MD,PhD @weiweiqi]

Our study in the Journal of Lipid Research shows individuals with AA who have hypertriglyceridemia exhibit a higher prevalence of genetic risk factors compared to those with normal triglyceride levels,https://t.co/PqKtPrU2Ni

[Wei-Qi Wei,MD,PhD @weiweiqi]

@zzhao_bioinfo @embimd @trentrosenbloom @bradmalin @vumcdbmi Thanks, Zhongming.

[Wei-Qi Wei,MD,PhD @weiweiqi]

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, @embimd，@trentrosenbloom, @bradmalin, @vumcdbmi, and all my other friends! https://t.co/krOKZNPvCl

[Wei-Qi Wei,MD,PhD @weiweiqi]

AI shows promise for clinical phenotyping https://t.co/Pc6szfDkEy

[Wei-Qi Wei,MD,PhD @weiweiqi]

@voteforpedro @vumcdbmi @yanchao0222 @monikagrab_ @bradmalin @vekerchberger @MattKrantzMD @QiPingFeng I would argue that you possess all the "memory" in the world; the challenge lies in how to access it.

[Wei-Qi Wei,MD,PhD @weiweiqi]

Our recent research paper demonstrates how LLM can streamline the creation of electronic health record phenotyping algorithms. @vumcdbmi @yanchao0222 @monikagrab_ @bradmalin @vekerchberger @MattKrantzMD @QiPingFeng #phenotyping
https://t.co/lot0VLs74V

[Wei-Qi Wei,MD,PhD @weiweiqi]

@feiwang03 @VanderbiltAlz @ChatGPTapp @vumcdbmi Thanks 😁

[Wei-Qi Wei,MD,PhD @weiweiqi]

@BoulierKristin @vumcdbmi Great questions. The LDL changes vs. doses indicate patient adherence; a higher dose generally results in a greater reduction in our dataset. PCSK9 patients were a small group; they were not included in the analysis.

[Wei-Qi Wei,MD,PhD @weiweiqi]

Our latest publication in JACC ADV highlights the correlation between an individual's ED50 and Emax of statin and ASCVD events. As reviewers noted, this research supports the trend toward personalized medicine. https://t.co/jRajMoLkvu
@vumcdbmi