Audience
Companies and organizations seeking a tool to automate and enhance their medical literature monitoring operations
About CoVigilAI
CoVigilAI is an AI-enabled medical literature monitoring solution that employs advanced algorithms and data analytics to proactively detect and manage adverse drug events, ensuring patient safety and regulatory compliance in real time. The platform offers streamlined tracking of scientific and medical publications across prominent global literature databases such as PubMed and Embase, with customizable search strings facilitating an effortless pharmacovigilance literature monitoring journey. Periodic surveillance of scientific and medical literature databases and publications from diverse local journals is conducted, encompassing both global literature monitoring and localized literature surveillance. Advanced algorithms categorize Individual Case Safety Reports (ICSRs) into valid, potential, and invalid cases, while automated key entity detection efficiently recognizes crucial entities like patients, medications, adverse events, and designated medical events.
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Compier Literature Screening is an AI-driven platform designed to assist pharmacovigilance professionals in efficiently screening abstracts, full texts, and translated articles to identify patients, authors, events, products, and safety-related information. The platform offers built-in integration with online biomedical databases such as Medline and supports bulk uploading of literature records from sources like Embase, conference presentations, and PDF journals. It performs automated duplicate checks for each literature search and utilizes validated AI models for automatic screening and annotation of entities. Users can configure scalable literature screening workflows tailored to specific requirements and global regulations. The system facilitates communication with third-party vendors to obtain full texts and includes built-in translation capabilities. It also integrates with safety systems, such as Oracle Argus Safety, to transmit ICSR-relevant articles.
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DF Literature Monitor
DF Literature Monitor is an advanced AI-powered solution designed to automate the monitoring of vast amounts of literature and optimize safety vigilance processes. It integrates with major global and local literature sources for simultaneous article retrieval, employing semantic search to identify relevant articles efficiently. The platform features automatic de-duplication, extraction of minimum safety information, and auto-population of safety case forms, which can be submitted to safety databases in E2B or Excel/PDF formats with a single click. Additionally, it offers automated translation of abstracts and full articles into English. DF Literature Monitor includes configurable workflows to facilitate collaboration and quality control among pharmacovigilance teams. By leveraging this solution, teams can save up to 60% or more time and effort in the literature monitoring process while ensuring quality and compliance.
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Bibliovigilance
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biologit MLM-AI
Biologit offers a comprehensive suite of software and services designed to enhance safety surveillance across various industries. Their flagship product, biologit MLM-AI, is an all-inclusive global and local medical literature monitoring platform powered by AI. This scientific literature monitoring platform is simple to use, fully web-enabled, and validated for compliance, providing productivity gains for human and veterinary pharmacovigilance. Key features include integrated search and configurable literature screening workflows delivering up to 70% productivity gains powered by AI, a flexible and validated SaaS platform that is GxP-ready and CFR-11 compliant, and a database hosting major global and local literature sources with automatic article de-duplication. In addition to its software solutions, Biologit offers consultancy services covering pharmacovigilance, veterinary pharmacovigilance, and more.
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Company Information
CoVigilAI
India
covigilai.in/
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Product Details
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Cloud
Training
Documentation
Live Online
In Person
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