Tag: clinical research
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Introducing Loon Lens™: Enhancing Systematic Literature Reviews with Autonomous Literature Screening
We are pleased to share the results of our recent validation study, “Loon Lens 1.0 Validation: Agentic AI for Title and Abstract Screening in Systematic Literature Reviews,” now available on medRxiv. This study evaluates the effectiveness of Loon Lens™, our autonomous AI literature screener designed to automate the Title and Abstract (TiAb) screening process in…
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Ensuring Loon’s Compliance with NICE Guidelines on AI Use in Evidence Synthesis
In this article, we navigate NICE’s Position on the Use of AI in Evidence Generation for Health Technology Assessment (HTA) and explain how Loon Hatch™ – our end-to-end, fully automated, and expert-validated evidence synthesis solution – and Loon Lens™ – our scientifically validated, autonomous literature screener – align with the HTA body’s’ guidelines on the…
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Making Systematic Reviews Feasible for Every Clinical Trial with Loon Hatch™ and Revolutionizing Clinical Research
Can starting and ending clinical trials with Systematic Reviews truly be feasible? It hasn’t been—until now! In the world of clinical research, systematic reviews are essential for ensuring that trials are well-informed, ethically sound, and impactful. Yet, a recent study by Clarke et al. uncovered a concerning trend: out of 175 randomized controlled trial (RCT)…
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The Why Behind AI
Dr. Janoudi’s keynote discusses the use of AI in Clinical Research as well as applications, best practices, and regulatory aspects. FAQs Why is AI important in clinical discovery? AI is important in clinical discovery because it can help identify unique and unusual cases that may lead to new medical breakthroughs. By analyzing large datasets more…