Lily Li

VP, clinical informatics @ Sema4; Assistant Professor @ Mount Sinai, genetics and genomics, EMR, machine learning, AI in healthcare, Reproductive disease

[Lily Li @li_emr]

our new findings on covid study: In-hospital use of ARBs was associated with a significant reduction in in-hospital mortality among COVID-19-positive African American patients. https://t.co/cawuYtJEIN

[Lily Li @li_emr]

Alpha blockers can reduce in-hospital mortality caused by covid. Check our new findings here. COVID-19 outcomes among hospitalized men with or without exposure to alpha-1-adrenergic receptor blocking agents https://t.co/UH3c5WGWTE

[Lily Li @li_emr]

First study look at the longitudinal data not just one time point for Preeclampsia prediction. Improving Pre-eclampsia Risk Prediction by Modeling Individualized Pregnancy Trajectories Derived from Routinely Collected Electronic Medical Record Data https://t.co/dLv5iZDyJS

[Lily Li @li_emr]

Our model outperforms existing tools in SOC with as few as 24 markers. Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records https://t.co/mnImO8lNQ3

[Lily Li @li_emr]

A comprehensive digital phenotype for postpartum hemorrhage https://t.co/IPwFXoRmG3

[Lily Li @li_emr]

Our RWD analysis on large COVID19 cohort including 5 member hospitals at Mt Sinai shows a racial parity in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. #COVID19 https://t.co/ckjikvbsCa

[Rong Chen @RongChenBioinfo]

Our RWD analysis on 6158 COVID-19 patients shows a racial parity in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. #covid19 #racial
https://t.co/bjkFmASoGQ

[Annie Horvathova @Nusike]

V.Osmani presents at #pervasivehealth2017 #workshop papier #challenges & #opportunities in #evolving #TreC #healthrecord #platform

[Jakob E. Bardram @jbardram]

#pervasivehealth2017 next year will be in New York.

[Oresti Baños #SinCienciaNoHayFuturo @orestibanos]

On the use of #deeplearning for scaling up #health #analytics while preserving #privacy #PervasiveHealth2017 @ucl @Cambridge_Uni

[Oresti Baños #SinCienciaNoHayFuturo @orestibanos]

Great pleasure to chair the session on #tracking and #rehabilitation #PervasiveHealth2017 Nice works!

[Lily Li @li_emr]

PervasiveHealth 2017 : Pervasive Computing Technologies for Healthcare https://t.co/YD7ntY62RZ

[Nicholas Tatonetti @proftatonetti]

We were able to replicate 7 of 9 heart disease assoc using Mount Sinai data @jdudley @MaryRBoland @TransBioinfoLi

[jdudley @jdudley]

New paper from the lab: Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the EHRs https://t.co/RX8nfuP5Or

[Rong Chen @RongChenBioinfo]

My resilience paper in Nature Biotech. We searched 589,306 genomes, identified 13 super heroes, https://t.co/LhVkjIzLX1, @IcahnMountSinai

[Atul Butte (In Memoriam) @atulbutte]

Wow! Butte Lab alumnus @RongChenBioinfo w/ spectacular @NatureBiotech paper on genetic diseases that don't appear! https://t.co/Acq41jwtnz

[Lily Li @li_emr]

My study with Joel Dudley, Ronald Tamler, @RongChenBioinfo, Wei-Yi Cheng, Ben Glicksberg, Omri Gottesman, was highl…https://t.co/nPQd6UYwWQ

[Icahn Genomics Institute @IcahnInstitute]

Read @NIHDirector blog: #BigData Study Reveals Possible Subtypes of Type 2 #Diabetes https://t.co/uH6P8XyMuJ

[Atul Butte (In Memoriam) @atulbutte]

Science Trans Med Paper by @jdudley @RongChenBioinfo @TransBioinfoLi featured in @DShaywitz @Forbes article! https://t.co/h6CrIMicur

[Lily Li @li_emr]

@adamgdunn Thanks!