Director, Artificial Intelligence in Medicine (AIMed) Lab @OhioState
Columbus, USA
Joined July 2009
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Ping Zhang retweeted
A new analysis of urine drug tests found that 71% of people who tested positive for fentanyl didn't have a prescription for it. The other 29% had a legitimate medical reason for needing the potent analgesic, such as surgery, trauma or a chronic health condition. rebrand.ly/illicit-fentanyl-…
Check out this new @eClinicalMed study from @OSUengineering @OSUWexMed @OSUbigdata @BrighamWomens @harvardmed Seungyeon Lee, Wenyu Song @DBatesSafety Richard Urman and I explore Illicit vs medical fentanyl use.
A new @OhioState study suggests illicit use of fentanyl in the US is more than twice as common as medically based use. The study also shows illicit exposure is linked to a much higher risk of opioid-related harmful outcomes than medical-source exposure. news.osu.edu/illicit-fentany…
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. news.osu.edu/co-prescribed-s…
So thrilled that NSF highlighted our paper on human-centered AI for #sepsis early prediction! Paper: pmc.ncbi.nlm.nih.gov/article… @OSUengineering @OSUWexMed @OhioStateMed @OSUbigdata @OhioStateCSE
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
ALT Red blood cells flow past a tear in the blood vessel, where platelets and collagen are forming a clot to close the hole and begin the healing process.
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! cse.osu.edu/news/2024/09/ruo…
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. bit.ly/3ABwGuC
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 bit.ly/4bC6ldp
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/3712…
@OSUengineering
@OSUbigdata
@OhioStateMed
@AMIAinformatics
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/s42256-0…
Ping Zhang retweeted
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/DSDSS…
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 dlvr.it/Sv1MmF
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 dlvr.it/SQlHr7 #datascience
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.
engineering.osu.edu/news/202…
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
nsf.gov/awardsearch/showAwar…
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 dlvr.it/SJPX9V #datascience
So thrilled that our paper on deep visual analytics of EHR data was highlighted in #AMIA2021 @ciminoj's AMIA Year-in-Review. Paper: jmir.org/2020/9/e20645/ @OSUengineering @OSUbigdata @OhioStateMed @jmirpub @AMIAinformatics
Glad to co-author this paper for survival prediction. Great collaboration with Prof. @gyuanfan and the team at @UMichResearch. Full paper: rdcu.be/cmVO6 @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 (rdcu.be/cmWaU). nature.com/articles/s43588-0…
Ping Zhang retweeted
Online now: Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram dlvr.it/Rxwcn3
Drug Repurposing: Expediting Discovery Through a Novel Algorithmic Framework managedhealthcareconnect.com… Full paper: rdcu.be/cc2CP Thanks Mary Beth Nierengarten from @FirstReportMC
The full paper is here: rdcu.be/cc2CP. 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 neo.life/2021/02/ai-breathes…
New #AI tool for phenotypic drug discovery and drug repurposing, and its application of mining #COVID19 treatments. Full paper: rdcu.be/cezEK @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. bit.ly/3pKuuqE
