How PTP Leveraged Generative AI to Cut IND Reporting Time by 95%* for a Biotech CEO
A precision medicine biotech company specializing in oncology partnered with PTP to streamline their reporting processes using Generative AI. By leveraging AWS Bedrock and custom AI training, the company reduced IND reporting time by 95%, enhancing productivity while maintaining the CEO’s unique writing style across critical communications.
- *95% Time Reduction: The CEO reduced IND reporting time to approximately 1/20th of the time previously required.
The Challenge
A precision medicine research company focusing on oncology faced a common challenge in smaller biotech firms: limited resources. The company’s CEO, while managing numerous responsibilities, was the sole author of Investigational New Drug (IND) reports required for FDA filings. Additionally, the CEO authored board reports, investor communications, other FDA documents, and internal communications—all needing to reflect the CEO’s unique writing style and tone.
The company sought a way to augment the CEO’s writing capabilities to increase speed and productivity while maintaining the personalized nature of their communications. This required a solution that could align with the CEO’s voice and handle the technical and scientific complexity of IND reports.
The Solution
PTP identified Generative AI as the ideal solution to address the CEO’s challenge. By analyzing 20GB of existing written materials from the CEO—including published papers, previous IND reports, internal documents, and emails—PTP proposed training a custom Generative AI model. The solution included:
Training Data
Used the CEO’s extensive written materials to train the model in their specific tone and style.
Incorporated scientific materials from the company’s lab, information systems, and research papers to fine-tune the AI for their field of oncology.
AWS Bedrock
Leveraged AWS Bedrock for its ability to securely train models using private internal data, eliminating risks of data leaks.
Provided flexibility to switch between AI models, starting with Claude Three from the Anthropic Model, while enabling future experimentation.
Optimization for Usability
Minimized prompt engineering by training the model to deliver outputs aligned with the CEO’s style and the latest scientific insights.
Enabled the CEO to easily interact with the model and generate high-quality content quickly.
The Outcome
By implementing AWS Bedrock and fine-tuning the Generative AI model:
Time Efficiency
The CEO reduced the time required for IND reporting by 95%, completing reports in 1/20th of the previous time.
Strategic Impact
Freed from time-consuming writing tasks, the CEO could focus more on tactical and strategic priorities.
Scalability
The model’s flexibility allowed it to be used for other critical communications, including board reports, investor relations, and FDA documents.
This solution provided a significant productivity boost while maintaining the CEO’s distinct voice and ensuring the accuracy and relevance of scientific content.
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