Ping Zhang

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

[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. https://t.co/yLANUhhAZb

[Ping Zhang @AIMedLab]

So thrilled that NSF highlighted our paper on human-centered AI for #sepsis early prediction! Paper: https://t.co/miYyJodz7R @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.https://t.co/61OYSgZpVu

📸:Nicolle Fuller, NSF

[Ping Zhang @AIMedLab]

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

[CSE @OhioStateCSE]

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! https://t.co/vntOX3FwIp

[Ping Zhang @AIMedLab]

@EKCaldwell Many thanks Emily for the consideration and the excellent story.

[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. https://t.co/oo2rHK2Q9H

[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 https://t.co/bqsCkfkCIF

[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! https://t.co/LfC0IDMytC
@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 https://t.co/UQLSN0Q7eh

[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. https://t.co/vQxyKKmVO6

[Ping Zhang @AIMedLab]

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

[Patterns, a Cell Press journal @Patterns_CP]

Online Now: Stable clinical risk prediction against distribution shift in electronic health records #datascience https://t.co/PZp3WCP0OB

[Ping Zhang @AIMedLab]

@OhioStateNews @NatMachIntell @OhioState @OhioStateMed @OSUengineering @OSUbigdata Thank you. Our full paper is available at: https://t.co/inK6rerISY. This is our close collaboration with physicians at #OSUemergencymedicine

[Ping Zhang @AIMedLab]

@OSUengineering @NatMachIntell Thank you. Our full paper is available at: https://t.co/inK6rerISY

[Ping Zhang @AIMedLab]

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.

[Patterns, a Cell Press journal @Patterns_CP]

Online Now: DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge https://t.co/y9GrckYHKR #datascience

[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.
https://t.co/GAz85ynw0Z

[Ping Zhang @AIMedLab]

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

https://t.co/UZzmimeqj6

[Ping Zhang @AIMedLab]

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

[Patterns, a Cell Press journal @Patterns_CP]

Online Now: Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing https://t.co/2LUmxGSabP #datascience

[Ping Zhang @AIMedLab]

So thrilled that our paper on deep visual analytics of EHR data was highlighted in #AMIA2021 @ciminoj's AMIA Year-in-Review. Paper: https://t.co/5Yuct3gGEN @OSUengineering @OSUbigdata @OhioStateMed @jmirpub @AMIAinformatics

[Ping Zhang @AIMedLab]

Glad to co-author this paper for survival prediction. Great collaboration with Prof. @gyuanfan and the team at @UMichResearch. Full paper: https://t.co/KD2KLijr9U @OSUengineering @OhioStateMed @OSUbigdata @OhioStateNews

[Nature Computational Science @NatComputSci]

In a recent Article, @gyuanfan and colleagues propose a statistical modeling method to generalize right censored data to a standard regression problem (https://t.co/YF4iZbq2ay). https://t.co/8lZYlMBcMj

[iScience journal @iScience_CP]

Online now: Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram https://t.co/phftLNbLri

[Ping Zhang @AIMedLab]

Drug Repurposing: Expediting Discovery Through a Novel Algorithmic Framework https://t.co/712sg5YXmA Full paper: https://t.co/JWPG7HMX9A Thanks Mary Beth Nierengarten from @FirstReportMC

[Ping Zhang @AIMedLab]

The full paper is here: https://t.co/JWPG7HMX9A. Thanks @SilverJacket for the story, @zapfriend for the illustration, @kpfortney, and @yuanhypnosluo for comments. @NatMachIntell @OSUengineering @OhioStateMed @OSUbigdata @OhioStateNews

[proto.life @protolifemedia]

"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 https://t.co/ITJVofKZCi