Insights on AI & Healthcare
Technical deep-dives on regulation, AI engineering, and bioinformatics for healthcare professionals.
LLM Temperature: The One Parameter That Changes Everything
Temperature controls how an LLM picks its next word. A single number between 0 and 1 — and getting it wrong in a healthcare pipeline doesn't just produce mediocre output, it produces unpredictably wrong output.
The Invisible Filter That Decides Whether Healthcare AI Really Works
Why some systems shine in the lab and stumble in the hospital. A biostatistical principle has governed omics and clinical trials for three decades — and a personal reflection on whether it could become a validation standard for multi-agent AI workflows.
AI Doesn't Eliminate Technical Debt. It Multiplies It.
If you don't know what you're doing, AI lets you do it faster. That's it. That's the trap. Before, a mistake took hours to generate. Now it takes seconds.
Multi-Agent AI Systems in Clinical Research: Beyond the Single-Model Paradigm
A single LLM can't reliably manage a clinical trial. But a system of specialized agents — each with defined roles, validation gates, and failure protocols — can transform how we handle regulatory documents, patient data, and research coordination.
Bioinformatics Pipeline Validation: ICC, Cohen's Kappa, and Spearman in Practice
A pipeline that runs without errors isn't a validated pipeline. Learn how inter-rater reliability metrics — ICC, Cohen's Kappa, and Spearman — separate reproducible science from expensive noise.
Spec-Driven AI Development: Why Pharma Needs Formal Specifications Before Writing a Single Line of Code
Most AI projects in pharma fail not because of bad models, but because of unclear requirements. Spec-Driven Development forces you to define success before you build — reducing waste, accelerating validation, and making regulatory review predictable.
EU AI Act & Healthcare Software: What You Need to Know (Updated Timeline, November 2026)
The EU AI Act classifies most healthcare AI systems as high-risk. Updated for the Digital Omnibus: here's what that means for your development roadmap, compliance budget, and go-to-market timeline.