Q&A

What is Baseline AI?

Baseline AI is a tool that uses AI technology to accelerate clinical trials. It processes a user's study protocol to automatically create Case Report Forms (CRFs), database models, edit checks, and analysis code. The user is left with the task of simply reviewing and approving these elements. The tool also integrates smoothly with major Electronic Data Capture (EDC) platforms.

How does Baseline AI use AI to accelerate clinical trials?

Baseline AI accelerates clinical trials through automation of time-consuming aspects of clinical trial data management. It uses AI to process the user's study protocol and create Case Report Forms (CRFs), database models, and edit and analysis code. It also uses AI for automated testing cycles and harmonizing data from multiple sources to maintain consistency and compliance.

What is the process to create Case Report Forms (CRFs) using Baseline AI?

To create Case Report Forms (CRFs) with Baseline AI, a user must upload their study protocol and data management plan. The tool's AI then handles the task of creating the database, CRF, and checks. This process is followed by automated testing cycles.

How does Baseline AI automate database models, edit checks, and analysis code?

Baseline AI simplifies the creation of database models, edit checks, and analysis code through AI automation. When the user uploads the protocol and data management plan, the AI processes the data and automatically generates the database models, edit checks, and analysis code. Once the AI completes this process, the results are reviewed and approved by the user.

How does Baseline AI integrate with Electronic Data Capture (EDC) platforms?

Baseline AI offers seamless integration with major EDC platforms. This ensures a smooth transition and minimal disruption to existing workflows as users don't need to modify their current systems.

What are the functionalities of the 'Upload' feature in Baseline AI?

The 'Upload' feature in Baseline AI allows users to input their study protocol and data management plan. The AI within the tool then handles the creation of the database, CRF, and checks, followed by automated testing cycles.

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Can you explain the 'Harmonize' feature of Baseline AI?

The 'Harmonize' feature in Baseline AI connects data from different sources such as eCOA, labs, wearables, etc., and automatically maps them to the format of the user's EDC system. This ensures data consistency and compliance.

How does 'Analyze' module in Baseline AI work?

The 'Analyze' module in Baseline AI helps in data analysis by allowing users to upload their Statistical Analysis Plan. The tool then creates analysis-ready datasets and generates code for tables, listings, and figures.

Which data sources can Baseline AI connect to via the 'Harmonize' feature?

Baseline AI, through its 'Harmonize' feature, can connect to different data sources such as eCOA, labs, and wearables.

Who created Baseline AI?

Baseline AI was created by a team of MIT graduates with a deep technical background and a passion for accelerating clinical trials using AI.

How does Baseline AI assist in data analysis?

Baseline AI assists in data analysis by allowing users to upload their Statistical Analysis Plan. Then, it creates analysis-ready datasets and generates code to produce tables, listings, and figures.

Why does Baseline AI focus on clinical trial data management?

Baseline AI focuses on clinical trial data management as it's typically the most time-consuming aspect of clinical trials. By automating this process, it saves significant time and resources for users.

How does the AI in Baseline AI create database and checks?

Baseline AI uses its inbuilt AI to create databases and checks. When a user uploads their study protocol and data management plan, the AI processes this information and automatically creates the database and validation checks.

What is the purpose of automated testing cycles in Baseline AI?

The automated testing cycles in Baseline AI serve to ensure the correctness and integrity of the CRFs, database models, and checks that the AI creates. These cycles test the output in minutes, which would otherwise take weeks.

How does the tool ensure consistency and compliance of data?

Baseline AI ensures consistency and compliance of data by using the 'Harmonize' feature. This feature automatically maps data from different sources such as eCOA, labs, wearables, etc., to the format of the user's EDC system.

How does Baseline AI help in creating analysis-ready datasets?

Baseline AI helps in creating analysis-ready datasets by allowing users to upload their Statistical Analysis Plan. Following this, the tool generates the datasets that are ready for data analysis.

What code does Baseline AI generate for data analysis?

Baseline AI generates code for tables, listings, and figures for data analysis after a user uploads their Statistical Analysis Plan and the tool produces analysis-ready datasets.

Is there a need to modify my existing systems for Baseline AI integration?

There is no need to alter current systems for Baseline AI integration. The tool offers seamless integration with major EDC platforms, ensuring minimal disruption to your workflows.

What kind of protocols can I upload to Baseline AI?

You can upload study protocols and data management plans to Baseline AI. These will be processed by the tool's AI to create CRFs, database models, edit checks, and analysis code.

How can Baseline AI save significant time and resources in my clinical trials?

Baseline AI can save significant time and resources for your clinical trials by automating the most labor-intensive aspects of clinical trial data management. This includes generating Case Report Forms (CRFs), database models, edit checks, and analysis code, which can considerably reduce direct costs and potential lost sales.

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