Our software identifies image plagiarism and manipulation in life science articles 🔬. Currently, we run a pilot program with journals, publishers, and universities. If you'd like to join or learn more about our company, check out our website.
imagetwin
168 posts
Imagetwin is an AI-based software that automatically detects image integrity issues in life science articles and enhances the peer-review procedure.
- Another update! 📈 Our database has now been expanded! When using our software, your images will be compared against our database of over 50 million scientific images 🧪. Stay tuned for more updates to come...
- UPDATE! Our software is now detecting irrelevant duplicates that are caused by merged/overlayed images, which up to now were detected as duplicates. We automatically detect and remove the irrelevant duplicates to save you time. #researchintegrity #scienceintegrity
- Major update at imagetwin! 🚀 The software can now detect vertical splicing in gel band images! AND, we have added a forensic toolbox to the detail view of duplicates. Stay tuned for more updates (soon)... Find out more: imagetwin.ai/posts/splicing
- Amazing findings! It's great to see that we can help identify these paper mill cases.Retraction of one of the "External Company" paper mill articles, a set of twenty papers that share images and citations. Found with the help of @ImageTwinAI. HT: @SmutClyde sciencedirect.com/science/articl…
- Update! imagetwin is now accessible via API, allowing seamless integration of our image screening service into existing processes. Explore our API documentation at imagetwin.ai/docs/api
- We're thrilled to announce our new partnership with @ImageTwinAI! Recognizing the damage of image manipulation in academia, we're committed to using cutting-edge tech to combat misconduct. Learn more about this integration here: eu1.hubs.ly/H07xryD0 #ImageManipulation
- We are proud to share the good news: Imagetwin is one of the Falling Walls winners in the category Science&Innovation Management 🥳🦾 Cheers to the winners of the Science&Innovation Management category: @diabate17699096 @targetmalaria @swanseauni @bluerivercf @ambertools @ferstaniscuaski @parentinscience @boehringerde @joshmnicholson @scite @_mehakmumtaz @nitafarahany @imagetwinai @engflecha @laion_ai
- A little introduction to our software! imagetwin - AI-based software for detecting integrity issues in images
- Our mission is to increase quality and trust in science and research integrity and we would like to thank David Sholto (@addictedtoigno1) for working on that mission alondside us.
- Thank you @AnilOza16 for covering a topic as important as scientific integrity and mentioning us. We appreciate that our software has been valuable and impactful and we continue our work to bring in more improvements. #researchintegrity #publishingin a recent preprint an AI and a trained eye analyzed ~700 papers, looking for duplicated images The AI, @ImageTwinAI came out on top - showing the promise of such tools w/ @addictedtoigno1 @MicrobiomDigest @Image_Integrity nature.com/articles/d4158…
- It was a great day with an even better outcome 🏆🥳 Thanks @KargerPublisher for a great event and to @scientifyRES & @sciscore for the fantastic competition!!! 👏🎉And the winner of the #VesaliusInnovationAward is @ImageTwinAI. The runner-ups are @scientifyRES and @sciscore. Congratulations to all! 🎉 A big thanks to the startups, the jury members and our #sponsor @MC_InnoHub & #partners @STMAssoc and @VeluxStiftung 🙏
- Thank you @NidhiSubs and @WSJ for shedding light on the topic of Research Integrity, which we are striving to increase at imagetwin.
- 🌟 Meet Alessandro and Aleksander, the newest additions to our talented team. With their expertise in AI, data science, and machine learning, we're gearing up for greater improvements ahead. #datascience #AI #researchintegrity















