Nested Knowledge Partners with Research Solutions To Provide Full Texts Faster Together, these two organizations offer a faster way to access and synthesize full texts for living systematic literature reviews and meta-analyses. St. Paul, MN – January 24, 2024. Nested Knowledge Inc., a leading provider of software solutions for systematic literature review and meta-analysis, announced […]
Nested Knowledge and OPEN Health announce strategic research collaboration to leverage AI technologies for evidence synthesis
Nested Knowledge and OPEN Health announce strategic research collaboration to leverage AI technologies for evidence synthesis St. Paul, Minnesota, U.S.A. – December 11, 2023 – Nested Knowledge, a leading provider of AI-based SaaS platform solutions for systematic literature review and meta-analysis, is excited to announce a strategic collaboration with OPEN Health, a preeminent global provider of consulting, HEOR and market […]
April 26, 2023 Nested Knowledge & Adaptic Health are combining forces to maximize chances of clinical trial success. Nested Knowledge, a platform for structuring clinical literature and auto-generating interactive outputs, is pairing with Adaptic Health, an application for modeling recruitment, timelines, and cost in the clinical trial development process. Clinical trial planning can be […]
May 25, 2022 Let’s take a quick peek at an actual manuscript published using our software. Check it out! Seeing a manuscript through to publication is stressful. You have spent months searching, screening, extracting, analyzing, and writing to be at the whim of some random peer reviewers who don’t see your manuscript as the masterpiece […]
Looking ahead to 2022, the Nested Knowledge team is excited to bring additional features to the platform over the coming year, namely dual extraction, dual risk of bias, more quality control options, and an advanced organization-level library (including the very exciting “review inspector”).
October 31, 2021 Nested Knowledge supports a wide range of review and meta-analysis projects, mostly completed by external researchers using our novel software system, AutoLit. However, as part of our internal testing of software performance and in support of grant submissions demonstrating the viability of AutoLit, we have completed and made public the following research […]