Literature Review Solution

MadeAi-LR.

GenAI-enabled Life Science Literature Review

Understanding how challenging, time-consuming, and draining literature review work can be for busy life science professionals, CapeStart created MadeAi-LR. MadeAi-LR provides the strength of a proven, award-winning end-to-end platform and the knowledge of support experts experienced in optimizing AI efficiencies to life science literature review. MadeAi-LR gives life science literature reviews a centralized collaboration platform, automated efficiency, and transparency for workflow validation.

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Customer Result

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Central Collaboration
Platform
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Time Savings per
Literature Review
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Accuracy for Title & Abstract
Screening
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Accuracy for Data
Extraction & Summarization

AI Solutions

MadeAi-LR Features

Delivered through CapeStart’s seasoned AI Services Team, the MadeAi Platform brings significant value to literature review customers enjoying its rich set of features. 

MadeAi Steps

End-to-End Collaboration Platform

MadeAi-LR provides a centralized collaboration platform to conduct end-to-end LR work. MadeAi-LR facilitates communication and coordination among research team members. Users can leave comments, tags, change roles, and track progress in real-time, enhancing collaboration, workflow efficiency, and teamwork.

GenAI-aided Screening

CapeStart’s MadeAi-LR uses GenAI to screen studies using a research-oriented framework, helping researchers quickly identify relevant studies that meet their criteria.

Full-Text Purchase & Management

MadeAi-LR offers the ability to purchase and manage full-text articles directly within the platform through an integration with RightFind, eliminating the need for reviewers to access multiple external sources.

Single- and Multiple-Article Summaries

CapeStart’s MadeAi-LR generates concise single- and multiple-article summaries, allowing researchers to quickly extract key findings and insights.

Compliance Checking

MadeAi-LR includes built-in templates for generating PRISMA charts, ensuring compliance with industry standards and guidelines. This helps ensure that the review process adheres to best practices and enhances the credibility and trustworthiness of the findings.

Smart Search

CapeStart’s MadeAi-LR integrates multiple databases into a single platform (e.g., PubMed, Embase, Google Scholar, Cochrane Library), providing researchers with a centralized and comprehensive search experience, which allows for efficient and thorough literature searches across a wide range of sources.

Deduplication

MadeAi-LR automatically identifies and categorizes unique and duplicate records separately, streamlining the screening process and ensuring that only unique studies are included in the review.

Confidence Scoring

In addition to relevant/irrelevant predictions by the GenAI, researchers will get a confidence score for each prediction, and a detailed, article specific explanation for each element that will help them understand and review the reasons for inclusion/exclusion.

Semi-Automated Extraction

MadeAi-LR assists reviewers in extracting relevant data from included studies and highlights the exact location from where the information was extracted. This allows researchers to easily review the data with the full context of the article. It also reduces manual effort and improves efficiency.

Reports & Documentation

MadeAi-LR facilitates the generation of comprehensive reports and documentation for publication or regulatory purposes. Researchers can export screening decisions, data extraction results, and Single-Article Summary and Multiple-Article Summary, among other relevant information in various formats for reporting and dissemination. MadeAi-LR also offers customizable report generation.

Living LR

Even after completing a comprehensive literature review, new, relevant articles continually emerge in medical journals that need to be incorporated to keep the study up to date. CapeStart’s MadeAi-LR offers an optional Living LR, which keeps the completed LR up to date by automatically monitoring for and incorporating article.

Testimonial

They Trusted Us

The SAS generation, data summary table, and the report are outputs, I think, are really a time savings for us because we have a starting point.
Medical Writer, MadeAi user

CRO

You know the SAS is huge, at least for us. Very big, very big-time savings.
Medical Writer MadeAi user

CRO

I definitely think there are areas where the platform helps us improve efficiency, in particular for me, I feel like our biggest efficiency gains are in the SAS generation because that is a very time-consuming step for medical writing.
Medical Writer MadeAi user

CRO

I think the feedback is a very critical piece of our engagement. It's because of the feedback process with CapeStart that we're able to iterate effectively to understand what needed to improve and then decide on the strategies to overcoming and addressing the issues.
Executive

Pharma Manufacturer

The feedback was key in terms of changing the strategies, as well as testing them continuously to see how things could be improved. It was huge. And, thanks to that engagement from the CapeStart team.
Executive

Pharma Manufacturer

CapeStart’s AI Services Distinction

The value of CapeStart’s GenAI-enabled, end-to-end literature review solution comes from the CapeStart Team’s understanding of the complexities in using AI:

Optimizing AI for literature review requires a nuanced approach with an experienced partner leveraging a proven platform.

Applying AI saves time in many manual areas of literature review, while requiring validation points throughout the process, where subject matter expertise is critical.

Rethinking the AI-accelerated workflow is a necessary component of achieving the benefits of AI innovation, one that requires deep AI experience to support.

Adapting traditional formats, updating methodologies, and embracing innovation and greater efficiency are all part of CapeStart’s unique platform and service offering.

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