Lena Dang

MD PhD @wustlmed, PhD in #MachineLearning #ChemicalInformatics, intersteded in haversting collective intelligence in medical practice #AIMedicine

[Lena Dang @Lenadang]

Excited to share our newest deep learning model to predict Phase I metabolism: https://t.co/WjUmJ0dkjk. Check it out: https://t.co/tc8l2FD2R0 #WomenInScienceDay @WUSTLmstp

[JAHA @JAHA_AHA]

Holter QTc + ML reveal a powerful LQTS electrical biomarker: accurate diagnosis and risk prediction (AUC 0.92/0.91). #AI #EPeeps #LQTS @allamhadeel7 @Lenadang @jenniferavari @WashUPedsCard https://t.co/ihy21rHm3M

[Lena Dang @Lenadang]

A good read for anyone interested in intelligence-based medicine: https://t.co/F1xSY4e3sP

[Prof. Katharine Hayhoe @KHayhoe]

4. Lastly, the polling question that inspired my TED talk - do you ever talk about it? No change there, either. And that's very bad news: because if we don't talk about it, why would we care? And if we don't care, why would we act?

[Lena Dang @Lenadang]

Here is the other paper of our dual: https://t.co/WjUmJ0dkjk

[Lena Dang @Lenadang]

When scientists try to develop poetic terms, they come up with the dual "Metabolic Rainbow" and "Metabolic Forest." Celebrating our newest publication: https://t.co/XwhYNuM8T3 @noahrflynn @swamidass

[WuidQ: Washington University ID Questions @WuidQ]

7/11
Step 3⃣ Apply a syndromic approach, guided by the CD4 count & the mechanism of OI. 👇 This one is the hardest step as it requires familiarity with the MANY manifestations (rare & common) of different kinds of infections.

[WuidQ: Washington University ID Questions @WuidQ]

7/10
A good illness script will only materialize after a thorough history and exam.

The infographics 👇 can help one create a good and compelling infectious disease history. Exposure history is one of the critical components of an ID history.

[WuidQ: Washington University ID Questions @WuidQ]

21/M w/ 2 days abrupt fever, sore throat. No cough/rhinorrhea, rigors, hoarseness. Exam: b/l tonsil exudates, +tender cervical LAD, no neck swelling. No PMH, allergies. Sexually active w/ female partners, no prior STI. 4th gen HIV(-), rapid Strep(-). W/c of the ff is correct?

[Samantha Wang @DrSamanthaWang]

1/14 #MedTwitter: The ED pages you for an admission: a 24-year-old male with a history of IVDU presenting with fever. How do you take his drug history?

[Lena Dang @Lenadang]

What a Cardiothoracic Surgeon Sees When He Sees George Floyd by Nche Zama https://t.co/MoPytmtuXN

[John Roberts @John_K_Roberts]

For med students: I finally made the concept map of everything I know. more to come. #FOAMed

[Lena Dang @Lenadang]

XenoNet: Inference and Likelihood of Intermediate Metabolite Formation https://t.co/XzzxaTwp0H Proud to share our newest in silico metabolism predictor tool.

[Eric Topol @EricTopol]

It's subtle, but this is a log-scale, and the 1st time there's been anything favorable about the slope in US deaths I've seen from @BMcNoldy's graphs and ✓ similar Δ at updated @nytgraphics
We need this to be a real signal and hope it persists https://t.co/WPqWYJaWbo

[Lena Dang @Lenadang]

https://t.co/v4EWmEEGFd

[Lena Dang @Lenadang]

Another use of data analytics in navigating uncertain time: https://t.co/kpOylpTtMa

[Lena Dang @Lenadang]

@Mickdub29 Thanks, Mick!

[Lena Dang @Lenadang]

When your graduate work is mentioned in the press https://t.co/LFSga0gyOG #AIMedicine

[Lena Dang @Lenadang]

To intensive care physicians, aside from the variables listed below, what other factors would you consider when making ICU discharge decisions?
- VS (SBP, MAP, HR, RR, T, SpO2)
- Labs ( Bilirubin, creative, INR, Lactate, WBC, platelet, pH)
- GCS
- FiO2 #AIMedicine #EHR

[Lena Dang @Lenadang]

Democratizing medicine @Google https://t.co/DVCuIDedgX