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A detailed exploration of Techdome’s custom LLM implementation that streamlines clinical trial processes, and the decisions that made it possible.
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A detailed exploration of Techdome’s custom LLM implementation that streamlines clinical trial processes, and the decisions that made it possible.
This report emphasizes the practical mechanics of scalable automation – covering model specialization, data structuring, system modularity, and human-in-the-loop feedback.
For product and engineering leaders in mid-sized to large organizations operating in data-intensive, high-stakes workflows –particularly in life sciences, healthcare tech, or other sectors with complex process automation needs – it serves as a technically detailed case study in moving from experimentation to production-grade deployment.
The challenges Techdome set out to address, segregated into sponsor-side and systemic.
An overview of the solution Techdome built: features, architecture, zero-trust security, and monitoring and logging.
Rahul and Gaurav’s approach to the foundational task of data preparation, including deciding how to structure the data.
How the LLMs were adapted to the specific use case of clinical trials, including a detailed workflow diagram.
The predictive modeling capabilities of the solution, including matching candidates to trials and data validation.
An in-depth look at architectural decisions, including hosted GPUs, the three pillars of Techdome’s design philosophy, and the tech stack.
Techdome’s solution in perspective.
Techdome’s next steps, and some discussion on the future of clinical trial automation.
A combination of Rahul’s, Gaurav’s, and TechLeader’s key takeaways from this report.
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