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Research Solutions Unveils New AI Capabilities to Extract Data from Scientific Literature

Research Solutions (NASDAQ: RSSS) has launched Tables in Scite Assistant, a new AI-powered feature that automatically extracts and analyzes data from scientific literature.

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Research Solutions (NASDAQ: RSSS) has launched Tables in Scite Assistant, a new AI-powered feature that automatically extracts and analyzes data from scientific literature. The enhancement allows researchers to transform research data into structured insights, significantly reducing the time and effort required for literature reviews.

The Tables functionality enables users to extract data from peer-reviewed literature using AI, with customizable columns to organize research details such as sample size, study limitations, geographic location, and cell type. Early adoption across Medical Affairs, Research & Development, and Clinical Operations teams has shown significant improvements in research efficiency, particularly in competitive intelligence, biomarker identification, and post-market surveillance.

The system offers automated extraction of structured data, enhanced ability to identify biomarkers and clinical outcomes, and streamlined systematic review processes. Users have reported unprecedented levels of engagement with research content and improved efficiency through automated extraction of actionable insights.

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Positive

  • Launch of new AI-powered Tables feature enhancing product capabilities
  • Early adoption showing significant improvements in research efficiency
  • Expanded market reach across Medical Affairs, R&D, and Clinical Operations teams

Negative

  • None.
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New Tables Capability Transforms Research Data into Structured Insights for More Efficient Literature Analysis

HENDERSON, Nev., Feb. 19, 2025 /PRNewswire/ -- Research Solutions (NASDAQ: RSSS), a leader in AI solutions built for researchers, announced the launch of Tables in Scite Assistant, a significant advancement in research capabilities that helps researchers automatically extract and analyze data from scientific literature. This enhancement reinforces Scite's position in the growing market for AI research platforms while introducing powerful new capabilities that drive user engagement and satisfaction.

Scite Assistant's Tables functionality allows researchers to extract and structure data from peer-reviewed literature using AI, significantly reducing the manual effort, time, and resources typically taken when conducting literature reviews. The innovative approach allows researchers to leverage AI to extract data from the world's most comprehensive collection of research articles, so they can quickly find key data points in the literature. Going beyond other tools, Scite allows researchers to do this at a larger scale and with more content, which represents a significant advancement in how research organizations manage and analyze scientific information.

"With Scite Tables, we're going beyond AI chat – we're creating entirely new ways for enterprises to interact with scientific literature," said Roy W. Olivier, CEO of Research Solutions. "Early user feedback has been exceptionally positive, with customers reporting unprecedented levels of engagement with research content."

Key capabilities of Scite Tables include:

  • Automated extraction of structured data from scientific publications
  • Customizable columns to organize research details from cited studies, such as sample size, study limitations, geographic location, cell type, and other key parameters
  • Enhanced ability to identify and analyze biomarkers, clinical outcomes, and competitive intelligence
  • Streamlined systematic review processes for regulatory and research purposes
  • Flexible data organization tools that adapt to specific user workflows

Early adoption across teams like Medical Affairs, Research & Development, and Clinical Operations has already delivered significant value in key areas such as competitive intelligence, biomarker identification, and post-market surveillance. Users report substantial improvements in research efficiency through improved data management and automated extraction of actionable insights, eliminating the need for manual review of full publications and accelerating strategic decision-making processes.

"User feedback has been central to the development of Scite Tables," said Josh Nicholson, PhD, Chief Strategy Officer at Research Solutions. "Our enterprise customers have reported that the ability to customize and organize research data in multiple formats has transformed their approach to literature review and analysis. They reiterated that the key is to provide more than just AI summaries of abstracts, underscoring the critical importance of our partnerships with publishers."

About Research Solutions
Research Solutions (NASDAQ: RSSS) is a vertical SaaS and AI company that simplifies research workflow for academic institutions, life science companies, and research organizations worldwide. As one of the only publisher-independent marketplaces for scientific, technical, and medical (STM) content, the company uniquely combines AI-powered tools—including an intelligent research assistant and full-text search capabilities—with seamless access to both open access and paywalled research. The platform enables organizations to discover, access, manage and analyze scientific literature more efficiently, accelerating the pace of scientific discovery.

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For more information, visit https://www.researchsolutions.com.

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SOURCE Research Solutions, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is the new Tables feature launched by Research Solutions (RSSS)?

Tables is a new AI-powered feature in Scite Assistant that automatically extracts and analyzes data from scientific literature, allowing researchers to structure and organize research data more efficiently.

How does the new RSSS Tables feature improve research efficiency?

It reduces manual effort by automatically extracting data from peer-reviewed literature, offering customizable columns for organizing research details, and streamlining systematic review processes.

Which departments are early adopters of RSSS's new Tables feature?

Medical Affairs, Research & Development, and Clinical Operations teams are early adopters, using it for competitive intelligence, biomarker identification, and post-market surveillance.

What are the key capabilities of Research Solutions' (RSSS) Tables feature?

Key capabilities include automated data extraction, customizable columns for research details, enhanced biomarker and clinical outcome analysis, and flexible data organization tools.

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