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Proofig

Former names: ProoFiger
Automated Quality Assurance for Research Articles
Startup Pre-Seed Founded 2017 Business Software
Last Update Aug 25, 2021 · Claimed

Proofig News

3 articles
growth-positive
Taylor & Francis trials Proofig software to help detect image duplication - Taylor & Francis Newsroom
Taylor & Francis is piloting Proofig image integrity software to prevent image duplication and manipulation in academic journal articles. The software uses artificial intelligence and image processing to analyze figures and identify potential examples of duplication. The company takes the issue of image manipulation seriously and is exploring innovative technologies to address it.
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Apr 19, 2022 · www.drugdiscoverytoday.com
growth-positive
Proofig launches first commercial automated image duplication and manipulation detection software for scientific publications
PROOFIGER LTD, a company based in Rehovot, Israel, has developed advanced software to address the challenge of image integrity in scientific publications. The software, created by founder Dr. Dror Kolodkin-Gal and technology partners, extracts and compares images from papers to detect duplications and manipulations. This automated process helps prevent costly retractions and protects the reputations of researchers, publishers, and institutions. Publishers such as the American Association for Cancer Research and the American Society for Clinical Investigation have already integrated Proofigs software into their review processes. The software is also beneficial for individual researchers and publishing houses, reducing costs and ensuring the accuracy of research papers.
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May 13, 2020 · www.nature.com
growth-positive
Publishers launch joint effort to tackle altered images in research papers
The world’s largest science publishers are teaming up to discuss how to automatically flag altered or duplicated images in research papers. A new working group — the first formal cross-industry initiative to discuss the issue — aims to set standards for software that screens papers for problematic images during peer review.
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