Check out this amazing video from our CEO Kevin Kallmes, who explains what Tag Tables are in NK and how to understand them and utilize them when working on your next project! Need to extract data that is neither text or structured data? Then you are in luck with Tag Tables. These were created to bridge the gap between tagging and meta-analytical extraction. Tag Tables can work behind the scenes to give you more flexible and adaptable results when exporting your data and tracking through your tagging hierarchy. This video is also a great complement to our blog post, which is available here: https://lnkd.in/g_gGF7m2 Watch Kevin's new video now: https://lnkd.in/gr8tsYmQ #slr #heor #jca #metaanalysis #hta #innovation #ai #healthtech
Nested Knowledge, Inc.
软件开发
Saint Paul,Minnesota 2,523 位关注者
Modernizing clinical evidence synthesis. See it in action: https://nested-knowledge.com/
关于我们
Nested Knowledge? offers a comprehensive software platform for AI-assisted systematic literature review and meta-analysis. The software is composed of two parts which work in tandem: Search, screen, extract data, and complete critical appraisal with AutoLit?. Visualize, analyze, publish and share insights with Synthesis. For each step along the way, use our AI tools to accelerate your research, query the literature, draft systematic literature reviews or diverse review types, and create 'living', updatable Synthesis of evidence on your key medical research questions!
- 网站
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https://about.nested-knowledge.com/
Nested Knowledge, Inc.的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Saint Paul,Minnesota
- 类型
- 私人持股
- 创立
- 2018
- 领域
- Meta-Analytical Review、Clinical Outcome Data、Systematic Review、HEOR、EUMDR compliance、Medical Writing、Manuscripts、Software、Evidence Synthesis、Scoping、Medical Research、FDA regulatory compliance、Medical Device和Literature Review
产品
地点
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主要
US,Minnesota,Saint Paul,55117
Nested Knowledge, Inc.员工
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Julia Brodsky Ph.D.
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Anthony Coniglio, PharmD
President OPUS Pharma Consulting
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Asli Gurler Aras, Ph.D.
Strategic Leadership | Corporate Development | Growth Planning and Execution | Business Strategy | Life Sciences | BioTech | Health Data
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Dr Neeraj Mehta
M.Pharm., PhD, MBA., Consultant & Advisor - Publishing and Life Sciences PUBLISHING, CONSULTING, STRATEGY, ADVISORY & STARTUP
动态
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You won't want to miss this!
Welcome to #MAPS2025! Bookmark our film screening and Nested Knowledge, Inc. demo on your schedule during this week’s networking breaks. Learn how RTI Health Solutions can transform your #medcomms strategy. #medicalaffairs #implementationscience #narrativestorytelling
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Welcome welcome! Lovely to have you!
I’m happy to share that I’ve started a new position as an Intern: Pharmacoeconomics and Outcomes Research at Nested Knowledge, Inc.!
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The single most common question I get on Nested Knowledge, Inc.: "So you have this AI for literature review... how much time can I save?" I've always been too long-winded in response. "An HTA body did a study showing 50% time savings in screening... Smart Tags generate in minutes, but it depends on how much you curate them..." Luckily for me, Jade Thurnham put together a guide not only on HOW to do an AI Rapid Review, but also HOW LONG it will take! If anyone needs proof, I will literally hop on a call with you and co-design your Rapid Review in under an hour-- that's how confident we are in our #AI for #literaturereview!
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Visit us at #ISPOR2025 to learn more about our transformative Smart Search! In addition to the podium presentation by Kevin Kallmes , we will have a booth and a large portion of our team there. Message us here or contact us at [email protected].
We at Nested Knowledge, Inc. are excited to announce-- the validation study of our transformative #SmartSearch technology was accepted to #ISPOR2025 for a podium presentation! This will be my first ISPOR presentation and is certainly the most unique technology I've helped validate: in short, Smart Search refines your Research Question with you and turns your natural language into a database-agnostic Boolean Search Strategy. In our study, feeding a review's Objective statement to the AI found 76-80% of studies from expert searches! The real credit here goes to Karl Holub and Joshua T., who built the model-- I'm mostly a happy user; after just a few months, I can't imagine building a search without it. If you want to learn more, see the video below, come to my presentation on May 14 at 5:00 - 6:00 PM in #ISPORMontreal, or reach out directly! https://lnkd.in/gmMdrknX https://lnkd.in/gZnam83H
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Welcome to the team! Thrilled to have you!
Medical Research Associate @Nested Knowledge | Pharmaceutical Economics & Health Policy | Systematic Literature Reviews & Evidence Synthesis| HEOR & RWE
Career Update - Thrilled to share that I’ve started a new position as a Medical Research Associate at Nested Knowledge, Inc. I am excited to contribute to the team and learn from the talented professionals. I appreciate the support I’ve received throughout this journey and look forward to the challenges, learning opportunities, and growth ahead.
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If you work in #lifesciences, Nested Knowledge, Inc. is the leading software for human-in-the-loop #AI for systematic review, evidence synthesis, and rapid/targeted reviews. These capabilities are extremely flexible to your use case-- whether you work in Strategy, Clinical Affairs, Reg Affairs, Medical Affairs, Market Access/Value & Access, HEOR, RWE, or ever visit PubMed, you may benefit from our software! I can prove it-- I'll do a rapid review on a topic of your choice in 30 minutes or less, and if you turn it into a systematic review, we'll offer upwards of 50% time savings on Screening and 70% time savings on extraction tasks. To learn more based on specific, concrete case studies, see below and contact us at [email protected]! https://lnkd.in/gukXUXnu
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You won't want to miss it!
More great news about Nested Knowledge, Inc. at #ISPOR2025-- in addition to our #SmartSearch podium presentation (see https://lnkd.in/g2FgBqdT), we had our poster validating #CoreSmartTags accepted! This feature fills a vital gap in both our software and in #SystematicReview design: how can I configure my data for extraction without knowing what is reported in underlying studies? Core Smart Tags solves this: As soon as you add your Search, you can map out the Population, Interventions/Comparators, Outcomes, study size, location, and type. For #SLRs, this provides critical intel on your underlying studies, and for #TLRs, this may automate your entire review! To learn more about our validation, try out Core Smart Tags, or drill down on #HumanInTheLoop #AI, visit our poster on May 16th at #ISPORMontreal! https://lnkd.in/gmWeU6sJ https://lnkd.in/gUimyy2j
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More great news about Nested Knowledge, Inc. at #ISPOR2025-- in addition to our #SmartSearch podium presentation (see https://lnkd.in/g2FgBqdT), we had our poster validating #CoreSmartTags accepted! This feature fills a vital gap in both our software and in #SystematicReview design: how can I configure my data for extraction without knowing what is reported in underlying studies? Core Smart Tags solves this: As soon as you add your Search, you can map out the Population, Interventions/Comparators, Outcomes, study size, location, and type. For #SLRs, this provides critical intel on your underlying studies, and for #TLRs, this may automate your entire review! To learn more about our validation, try out Core Smart Tags, or drill down on #HumanInTheLoop #AI, visit our poster on May 16th at #ISPORMontreal! https://lnkd.in/gmWeU6sJ https://lnkd.in/gUimyy2j
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We at Nested Knowledge, Inc. are excited to announce-- the validation study of our transformative #SmartSearch technology was accepted to #ISPOR2025 for a podium presentation! This will be my first ISPOR presentation and is certainly the most unique technology I've helped validate: in short, Smart Search refines your Research Question with you and turns your natural language into a database-agnostic Boolean Search Strategy. In our study, feeding a review's Objective statement to the AI found 76-80% of studies from expert searches! The real credit here goes to Karl Holub and Joshua T., who built the model-- I'm mostly a happy user; after just a few months, I can't imagine building a search without it. If you want to learn more, see the video below, come to my presentation on May 14 at 5:00 - 6:00 PM in #ISPORMontreal, or reach out directly! https://lnkd.in/gmMdrknX https://lnkd.in/gZnam83H
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