Streamlining Clinical Workflows with Generative AI: Faster QC Summaries for Biotech
PTP partnered with a clinical-stage biotech company specializing in cancer and autoimmune disease treatments to address challenges in managing vast amounts of unstructured quality control data. By leveraging Generative AI and Amazon Bedrock, PTP developed a secure, custom chatbot capable of summarizing and analyzing QC documentation in plain language. This solution transformed manual data reviews into automated summaries, enabling faster decision-making, saving time, and enhancing the company’s clinical workflows.
The Challenge
PTP collaborated with a clinical-stage biotechnology company researching cancer and autoimmune disease treatments. The company’s extensive documentation, including scientific and quality control (QC) data, was stored in an S3 bucket in various formats (PPTs, PDFs, etc.). QC documentation is critical for ensuring product and patient safety, especially in preclinical and clinical stages. However, manually sifting through these documents to summarize data for stakeholders was time-intensive and inefficient.
To address this challenge, PTP developed a Large Language Model (LLM) and Generative AI (GenAI) chatbot to enable the team to quickly answer questions and summarize data in plain language.
The Solution
PTP designed and implemented a comprehensive solution leveraging Amazon Bedrock and cutting-edge AI technology:
Foundation with Amazon Bedrock
Deployed Bedrock into a Virtual Private Cloud (VPC) to ensure intellectual property protection.
Enabled the use of Amazon or third-party large language models as the foundation for the chatbot.
ML-Ops Pipeline for Continuous Learning
Automated the ingestion of new data from a private S3 bucket reviewed by the QC team.
Continuously trained the foundational model with the latest materials, ensuring up-to-date chatbot responses.
Unstructured Data Handling
Overcame challenges of missing metadata, naming conventions, and incomplete tagging by parsing S3 object identifiers.
Automated parsing and organization of QC files, streamlining data accessibility.
Prompt Engineering for Accuracy
Optimized model responses to ensure accurate answers, even with incomplete or ambiguous input.
Secure Access and Interface
Built a custom ChatGPT-style web interface with Bedrock access gateway for internal use.
Integrated AWS Cognito for secure access management, incorporating MFA and corporate ID credentials for seamless onboarding and offboarding.
The Outcome
The Generative AI chatbot, privately trained and fine-tuned on the company’s data, transformed the way the scientific team interacted with QC documentation:
Effortless Summarization
Moved from manual interpretation of QC documents to full plain-language summaries accessible almost immediately.
Increased Efficiency
Saved the scientific team hours of effort, allowing them to focus on strategic priorities.
Agile Decision-Making
Empowered stakeholders to make more informed decisions with up-to-date and accurate summaries.
By leveraging PTP’s expertise, the company streamlined its clinical workflows, enhanced data interpretation, and accelerated research processes, paving the way for more agile and efficient operations.
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