Create New Project

Define the configuration and pipeline for your new meta-analysis.

Project Details

Give your new project a name and a brief description.

Project Name

Description

Define Configuration

Set the schemas that will govern the automated workflow for this project.

PICO Screening Editor

Define the rules and required fields for the initial LLM-powered trial screening phase.

Population Details

Population Match?

Intervention: Immunotherapy Drug

Name of the PD-1/L1 inhibitor (e.g., 'nivolumab').

Intervention: Chemotherapy

Type of chemotherapy (e.g., 'platinum-based doublet').

Comparator: Immunotherapy Drug

Name of the PD-1/L1 inhibitor, if any.

Comparator: Chemotherapy

Type of chemotherapy in the control arm.

Intervention vs. Comparator Match?

Does the pairing match our criteria (e.g., IO+Chemo vs. Chemo)?

Reported Outcomes

Outcomes Match?

Does the trial report at least one key outcome?

Is RCT?

Is the study a Randomized Controlled Trial?

Overall Eligibility Decision

Reasoning: Population

Reasoning: Intervention

Reasoning: Comparator

Reasoning: Outcomes

Reasoning: Overall Justification

Execution Pipeline

Step 1: PICO Screening Run

This step will be enabled after the project is saved. It will run the automated PICO screener based on your defined schema.

Step 2: Agentic Data Extraction

This step will run the "Scout-Specialist" agent system on all eligible trials from the screening phase.

Step 3: Statistical Meta-Analysis

This final step will pool the extracted data to generate results and forest plots.