Nested Knowledge Blog
A blog about systematic literature reviews?
Yep, you read that right. We started making software for conducting systematic reviews because we like doing systematic reviews. And we bet you do too.
If you do, check out this featured post, as well as other recent posts below, and come back often! We post all the time about best practices, new software features, and upcoming collaborations (that you can join!).
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What You Might Have Missed at ISPOR 2025
Ahead of ISPOR 2025, Nested Knowledge took a major step forward in ensuring our mission of making evidence smarter, more accessible, and more transparent with three strategic partnerships with some of the most forward-thinking organizations in the industry. Curta With
More Recent Posts
What You Might Have Missed at ISPOR 2025
Ahead of ISPOR 2025, Nested Knowledge took a major step forward in ensuring our mission of making evidence smarter, more accessible, and more transparent with three strategic partnerships with some of the most forward-thinking organizations in the industry. Curta With
Cytel Partners with Nested Knowledge to Power the Next Generation of AI-Enhanced LiveSLR® for HEOR and HTA
Cambridge, MA and St. Paul, MN — May 9, 2025 — Cytel, a global leader in data-driven decision-making solutions for life sciences, and Nested Knowledge, the AI-powered platform redefining systematic literature reviews, today announced a strategic partnership aimed at revolutionizing evidence synthesis for Health Economics and Outcomes Research (HEOR) and Health Technology Assessment (HTA).
Join Nested Knowledge at ISPOR EU 2024: AI-Powered Solutions for the HTAR Era
As we approach ISPOR Europe 2024 in Barcelona on November 17th, we stand at a fascinating intersection of regulatory evolution and technological innovation. This conference comes at a crucial time, just months before the implementation of the EU Health Technology Assessment Regulation (HTAR) – a transformative change in how health technologies are evaluated across the European Union. While policy makers have spent the past three years laying the groundwork for the coming harmonization of health technology assessment, we at Nested Knowledge have also been hard at work developing tools to help our users meet a number of the associated challenges head-on.
Nested Knowledge Awarded NIH SBIR Grant to Advance AI-Powered Quantitative Data Extraction
We are thrilled to announce that Nested Knowledge has been awarded a Phase I SBIR grant from the National Library of Medicine (NLM) at the National Institutes of Health (NIH). This grant provides $304,971 in total funding towards building automated quantitative extraction from text and tables in medical literature.
Empowering Stroke Research: Dr. Yasmin Aziz’s Journey with Nested Knowledge
In the ever-evolving field of stroke research, new questions about different therapies, trial outcomes, and even metrics of procedural success are constantly emerging, meaning that systematic reviews are needed on a consistent basis to extract all information needed to inform both patient care and future research. In these projects, because of the major decisions that may result from the findings and because of how busy stroke physicians are, the efficiency and accuracy are paramount.
Recently, we sat down for a conversation with Dr. Yasmin Aziz, a practicing neurologist and Assistant Professor in the Neurology and Rehabilitation Medicine Department at the University of Cincinnati (UC) Gardner Neuroscience Institute.
NICE Guidelines for AI Methods: The Nested Knowledge Approach
This article outlines how to achieve compliance with HEOR and SLR guidelines for employing AI:
AI Approach: First, we outline our development practices and approach to integrating AI into the human workflows for SLR and evidence synthesis, with a focus on human oversight, transparency, validation, and compliance with emerging industry standards.
NICE Compliance: In part two of this article, we’ll examine how our philosophy stacks up against the latest position statement from the National Institute for Health and Care Excellence (NICE), including AI-enabled practices that fall within specific guidance from this statement.
