Ping Zhang
@AIMedLab
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Director, Artificial Intelligence in Medicine (AIMed) Lab @OhioState
Columbus, USA
Joined July 2009
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.
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.
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So thrilled that NSF highlighted our paper on human-centered AI for #sepsis early prediction! Paper: @OSUengineering @OSUWexMed @OhioStateMed @OSUbigdata @OhioStateCSE.
pmc.ncbi.nlm.nih.gov
Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and diagnosis could significantly improve the survival of sepsis patients. Existing predictive models...
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. 📸:Nicolle
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Blazing-fast image creation – using just your voice. Try Grok Imagine.
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Congrats @ruoqiliu77 "Ohio State, where the top engineering program meets the top medical school in Columbus, has grown Ruoqi as a rising star in AI for healthcare" @OSUengineering @OhioStateMed @OSUbigdata.
PhD Student Ruoqi Liu has joined the 2024 cohort of Rising Stars in Data Science. Liu has been selected to present a talk in the Rising Stars in Data Science workshop, hosted by the University of California San Diego. Congrats Ruoqi!
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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.
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.
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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.
.@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
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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! @OSUengineering .@OSUbigdata .@OhioStateMed .@AMIAinformatics.
pubmed.ncbi.nlm.nih.gov
Sepsis is a life-threatening condition with a high in-hospital mortality rate. The timing of antibiotic administration poses a critical problem for sepsis management. Existing work studying antibio...
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
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RT @DrBinChen: Registration and abstract submission are now open for the DahShu 2024 Data Science Symposium, May 16-18, @michiganstateu. Th….
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Our new tool for clinical risk prediction to reduce the temporal data shift (such as patient population changes or data format changes after several years) on electronic health records. @OSUengineering @OhioStateMed @OSUbigdata.
Online Now: Stable clinical risk prediction against distribution shift in electronic health records #datascience
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Our new paper on Diabetic Retinopathy (DR) Grading and Image Quality Estimation Challenge. We have released a DeepDRiD dataset containing 2,000 regular DR images (500 patients) and 256 ultra-widefield images (128 patients), both having DR quality and grading annotations.
Online Now: DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge #datascience.
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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.
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.
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We are very honored and excited to receive the @NSF CAREER Award. We will integrate deep learning algorithms and causal inference techniques to develop actionable methods for observational health data. @OSUengineering @OSUbigdata @OhioStateMed .
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Our new tool on chemical-induced gene expression ranking (CIGER) and drug discovery for drug-resistant pancreatic cancer. @OSUengineering @OSUbigdata @OhioStateMed @GC_CUNY @CUNYResearch @OxfordOncology.
Online Now: Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing #datascience.
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So thrilled that our paper on deep visual analytics of EHR data was highlighted in #AMIA2021 @ciminoj's AMIA Year-in-Review. Paper: @OSUengineering @OSUbigdata @OhioStateMed @jmirpub @AMIAinformatics
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Glad to co-author this paper for survival prediction. Great collaboration with Prof. @gyuanfan and the team at @UMichResearch. Full paper: @OSUengineering @OhioStateMed @OSUbigdata @OhioStateNews.
In a recent Article, @gyuanfan and colleagues propose a statistical modeling method to generalize right censored data to a standard regression problem (.
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RT @iScience_CP: Online now: Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
cell.com
Medicine; Clinical Finding; Artificial Intelligence
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Drug Repurposing: Expediting Discovery Through a Novel Algorithmic Framework Full paper: Thanks Mary Beth Nierengarten from @FirstReportMC.
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The full paper is here: Thanks @SilverJacket for the story, @zapfriend for the illustration, @kpfortney, and @yuanhypnosluo for comments. @NatMachIntell @OSUengineering @OhioStateMed @OSUbigdata @OhioStateNews.
"I can run clinical trials on 55 drugs at the same time". Artificial intelligence can sift through clinical data to find the hidden potential of drugs to treat conditions beyond what they were originally intended for. @SilverJacket @AIMedLab @OhioStateMed
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New #AI tool for phenotypic drug discovery and drug repurposing, and its application of mining #COVID19 treatments. Full paper: @NatMachIntell @nresearchnews @OSUengineering @OhioStateMed @GC_CUNY.
A new deep-learning computer model that can predict how human genes & medicines will interact has identified at least 10 compounds that may hold promise as treatments for #COVID19.
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RT @OSUengineering: Prompt detection of #sepsis, the leading cause of death worldwide, is critical. In @Patterns_CP Journal, Asst. Prof. Pi….
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