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Project: Developing an innovative solution leveraging Fabric and OpenAI's Retrieval-Augmented Generation (RAG) approach to enable patients to easily find clinical trials matching their needs and preferences
#48
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bharath-viz opened this issue
Mar 4, 2024
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Clinical Trial Finder - a chat bot for Clinicaltrails.gov
Description
Patient recruitment for clinical trials presents a significant challenge, primarily due to a widespread lack of awareness about available clinical trials. Addressing this critical issue, we introduce Clinical Trial Finder. Our project is designed to bridge the gap between patients and clinical trials, making it easier for individuals seeking treatment options to find relevant studies. By leveraging the capabilities of Fabric and OpenAI's Retrieval-Augmented Generation (RAG) approach, Clinical Trial Finder provides a user-friendly platform that simplifies the search process. Our solution enhances accessibility through natural language interaction, enabling users to articulate their queries in everyday language. This ensures that patients can effortlessly discover clinical trials that align with their specific needs and preferences, thereby facilitating better patient engagement and recruitment in clinical research.
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Project: Developing an innovative solution leveraging Fabric and OpenAI's Retrieval-Augmented Generation (RAG) approach to enable patients suffering from diseases to easily find clinical trials matching their needs and preferences
Project: Developing an innovative solution leveraging Fabric and OpenAI's Retrieval-Augmented Generation (RAG) approach to enable patients to easily find clinical trials matching their needs and preferences
Mar 4, 2024
Project name
Clinical Trial Finder - a chat bot for Clinicaltrails.gov
Description
Patient recruitment for clinical trials presents a significant challenge, primarily due to a widespread lack of awareness about available clinical trials. Addressing this critical issue, we introduce Clinical Trial Finder. Our project is designed to bridge the gap between patients and clinical trials, making it easier for individuals seeking treatment options to find relevant studies. By leveraging the capabilities of Fabric and OpenAI's Retrieval-Augmented Generation (RAG) approach, Clinical Trial Finder provides a user-friendly platform that simplifies the search process. Our solution enhances accessibility through natural language interaction, enabling users to articulate their queries in everyday language. This ensures that patients can effortlessly discover clinical trials that align with their specific needs and preferences, thereby facilitating better patient engagement and recruitment in clinical research.
Project Repository URL
https://github.com/bharath-viz/Fabric_OpenAI_Hackathon_2024
Project video
https://youtu.be/ap0jXm5a65g
Team members
skveeragoni
The text was updated successfully, but these errors were encountered: