Ping Zhang

58 posts

Ping Zhang

Ping Zhang

@AIMedLab

Director, Artificial Intelligence in Medicine (AIMed) Lab @OhioState

Columbus, USA 参加日 Temmuz 2009
162 フォロー中131 フォロワー
Ping Zhang
Ping Zhang@AIMedLab·
In our @LancetRH_Americ paper, Seungyeon Lee, Wenyu Song, @DBatesSafety, Richard Urman and I explore longitudinal co-prescription patterns of opioid and stimulant drugs and look for origins of “twin epidemic” of combining the two classes of drugs. Thanks Emily for the news.
Ohio State News@OhioStateNews

The combination of prescribed central nervous system stimulants, such as drugs that relieve ADHD symptoms, with prescribed opioid medications is associated with a pattern of escalating opioid intake, a new @OhioState study has found. news.osu.edu/co-prescribed-…

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Ping Zhang
Ping Zhang@AIMedLab·
So thrilled that NSF highlighted our paper on human-centered AI for #sepsis early prediction! Paper: pmc.ncbi.nlm.nih.gov/articles/PMC11… @OSUengineering @OSUWexMed @OhioStateMed @OSUbigdata @OhioStateCSE
U.S. National Science Foundation@NSF

Sepsis is a deadly reaction to infection that is hard to identify. Researchers at @OhioState are developing a new AI tool called SepsisLab to help physicians predict a patient's sepsis risk by suggesting data it needs to improve predictions.bit.ly/3ZnbYYb 📸:Nicolle Fuller, NSF

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Ping Zhang
Ping Zhang@AIMedLab·
@EKCaldwell Many thanks Emily for the consideration and the excellent story.
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Ping Zhang
Ping Zhang@AIMedLab·
In our @kdd_news paper, @Changchang_Yin @pinyuchenTW @BingshengY @dakuowang, Jeff and I explore human-centered AI for sepsis early prediction. Join our oral talk tomorrow at 4:30 pm Room 124-125 if you attend KDD this week. @OSUengineering @OhioStateMed @OSUbigdata @OSUWexMed
Ohio State News@OhioStateNews

An #AI tool proposed by @OhioState scientists to support decision-making about patients at risk for sepsis accounts for its lack of certainty & suggests what clinical data it needs to improve its predictive performance. bit.ly/3ABwGuC

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Ping Zhang
Ping Zhang@AIMedLab·
In our @Patterns_CP and @RealAAAI papers, @ruoqiliu96 , @pinyuchenTW, Lingfei Wu and I explore AI foundation models for treatment effect estimation and applications on comparative effectiveness. Many thanks, @EKCaldwell for the story. @OSUengineering @OhioStateMed @OSUbigdata
Ohio State News@OhioStateNews

.@OhioState scientists have designed a new #AI model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease. @OSUEngineering @OhioStateMed bit.ly/4bC6ldp

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Ping Zhang
Ping Zhang@AIMedLab·
So thrilled that our paper on treatment effect estimation for #sepsis personalized antibiotic prescribing was highlighted in #IS24 Dr.@yuanhypnosluo 's AMIA Year-in-Review! pubmed.ncbi.nlm.nih.gov/37125081/ @OSUengineering @OSUbigdata @OhioStateMed @AMIAinformatics
Ruoqi Liu@ruoqiliu77

Thrilled to share that our paper was highlighted at @AMIAinformatics #IS24 AI and Data Science Year in Review! 🌟 Thanks to all our collaborators Dr. Ping Zhang @AIMedLab, Dr. Katherine M. Hunold, and Dr. Jeffrey M. Caterino nature.com/articles/s4225…

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Ping Zhang がリツイート
Bin Chen
Bin Chen@DrBinChen·
Registration and abstract submission are now open for the DahShu 2024 Data Science Symposium, May 16-18, @michiganstateu. This year’s symposium will feature ten scientific sessions and four short courses from over 40 outstanding speakers. dahshu.wildapricot.org/DSDSS2024
Bin Chen tweet media
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Ping Zhang
Ping Zhang@AIMedLab·
Many thanks Meggie for the detailed story of our NSF CAREER on AI for healthcare. Many thanks to all my amazing students, collaborators and mentors.
OSUengineering@OSUengineering

Ping Zhang, asst. prof. of computer science and #engineering & #biomedical informatics earned a $556k #NSFCareer award for his research project “Developing Actionable Methods for Observational Health Data,” integrating #AI to advance precision medicine. engineering.osu.edu/news/2022/04/z…

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iScience journal
iScience journal@iScience_CP·
Online now: Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram dlvr.it/Rxwcn3
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