AI-Enhanced Intact Mass Data Communication: Expert-Level Comment and Automated Visualization
Published:
Organization: Bristol Myers Squibb
Date: May 2025
The Challenge:
Manual interpretation and commenting on LC-MS intact mass results is time-consuming and requires expert insight. No existing solution provided dynamic visualization of data across a 96-well plate.
My Solution:
I developed an automated tool with two core functionalities:
- AI-Driven Comment Generation:
- Integrates Protein Metrics report data with plate map metadata
- Sends data to GPT-4.1 via Azure OpenAI API using tailored prompts
- Produces expert-level, concise, and accessible comments for each sample
- Interactive 96-Well Plate Heatmap Visualization:
- Processes Protein Metrics report data to create an HTML-format 96-well plate heatmap
- Color-coded species categories for easy differentiation
Impact:
- Automated a highly specialized task
- Improved clarity and consistency of reports
- Facilitated faster, more informed decision-making
Technologies Used:
Python, Azure OpenAI API, Prompt Engineering, HTML