Research Blog
How we build AI for clinical research — methods, results, and what we learned, written by the people who did the work.
Don't Delegate, Do It Yourself — The New Way to Work in the Age of AI
For fifty years, the best career advice was simple: learn to delegate. As you rise, stop doing and start managing. That advice is now wrong.
The AI Regulation Revolution: How New FDA and EMA Guidance Opens the Clinical Trials Market
January 2025 marked a turning point for AI in clinical trials. The FDA and EMA released landmark guidance that doesn't just regulate AI — it legitimizes it as a core technology in drug development. Here's what it means for AI companies.
Beyond the Prompt: The System Design Engineering Behind Production-Grade Agents
Anyone can build an AI agent in a weekend. But then 'Day Two' happens. Building a production-grade agent isn't an AI challenge; it's a distributed systems challenge. Here are five architectural pillars for building enterprise-ready agents.
Understanding AI's New Power Duo: MCP and Agent Skills in TrialMind
An introduction to Model Context Protocol (MCP) and Agent Skills—two architectural patterns transforming isolated AI models into connected, knowledgeable agents. Learn how Keiji AI's TrialMind implements these concepts for clinical research tasks, enabling standardized data connectivity and modular domain expertise for pharmaceutical development.
Powering the Next Generation of Clinical Research: How MCP Unleashes TrialMind Agents
With pharmaceutical companies spending over $50 billion annually on clinical development while facing 90% failure rates, the strategic imperative for AI-driven innovation has never been clearer. Discover how MCP standardizes AI integration for clinical research.
Clinical Trials Demystified: An AI Researcher's Guide (Part 4) — AI Models in Clinical Trials
AI is increasingly being applied throughout clinical trial lifecycle. Discover how NLP, generative AI, computer vision, and predictive modeling are transforming trial design, patient recruitment, safety monitoring, and operational efficiency.
Clinical Trials Demystified: An AI Researcher's Guide (Part 3) — Clinical Trial Data & Standards
Clinical trials produce and rely on a variety of data and documents, all of which must adhere to certain standards to ensure integrity, interoperability, and compliance. Discover CDISC, MedDRA, ICH guidelines, and how standardization enables AI-driven innovation.
Clinical Trials Demystified: An AI Researcher's Guide (Part 2) — Clinical Trial Software & Vendors
Clinical development is supported by a suite of specialized software systems collectively referred to as 'eClinical' tools. Discover the landscape of EDC, CTMS, eTMF, and emerging AI-powered solutions transforming trial operations.
Clinical Trials Demystified: An AI Researcher’s Guide (Part 1) — Workflow for Clinical Trials
Clinical trials are essential to translating cutting-edge biomedical discoveries into lifesaving treatments. Discover how AI is revolutionizing this $80B+ industry and where your expertise can make transformative impacts.