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October 16, 2024
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Accelerate clinical trials with AI-powered automation
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Baseline AI is a tool designed to accelerate clinical trials using AI technology. It takes the study protocol provided by the user, and processes it to automatically create Case Report Forms (CRFs), database models, edit checks, and analysis code, leaving the user to simply review and approve.

This automation focuses on eliminating the most time-consuming aspects of clinical trial data management, potentially saving significant time and resources for its users.

Beyond this, Baseline AI also offers seamless integration with major Electronic Data Capture (EDC) platforms, minimizing disruption to existing workflows.

Within the tool, the 'Upload' feature allows users to input their protocol and data management plan, and the tool's AI handles the creation of the database, CRF, and checks.

This is followed by automated testing cycles. The 'Harmonize' feature is designed to connect data from different sources like eCOA, labs, wearables, and ensures consistency and compliance of data by automatically mapping to the format of the users EDC.

The 'Analyze' feature assists in data analysis where users can upload their Statistical Analysis Plan, create analysis-ready datasets, and the tool generates code for tables, listings, and figures.

Baseline AI has been created by a team of MIT graduates with a strong technical background and a focus on enhancing the speed and efficiency of clinical trials with the aid of AI.

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Baseline AI was manually vetted by our editorial team and was first featured on October 16th 2024.

Pros and Cons

Pros

Automates database creation
Automates creation of CRFs
Accelerates clinical trials
Integrated with EDC platforms
Automates testing cycles
Data harmonization feature
Automated data compliance check
Analysis-ready dataset creation
Code generation for analysis
Seamless workflow integration
Upload feature for protocols
Automated mapping to user's EDC format
Created by MIT graduates
Potential for significant time saving
Significant resource-saving potential
Connects data from varied sources
Compatible with eCOA data
Compatible with wearables data
Compatible with labs data
Increases speed of clinical trials
Eliminates time-consuming data management tasks
Automates edit checks

View 17 more pros

Cons

Limited to EDC platforms
No custom database models
No manual testing option
Single user content review
Limited data source types
No multi-lingual support
No offline use
No data backup features

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Q&A

What is Baseline AI?
How does Baseline AI use AI to accelerate clinical trials?
What is the process to create Case Report Forms (CRFs) using Baseline AI?
How does Baseline AI automate database models, edit checks, and analysis code?
How does Baseline AI integrate with Electronic Data Capture (EDC) platforms?
What are the functionalities of the 'Upload' feature in Baseline AI?
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