Exploring HealthTech innovation through expert knowledge and industry insights.
Practical insights from real projects on how AI coding assistants boost productivity, where they fail, and what makes them safe to use in production.
Learn how small teams can plan AI projects effectively with modular design, staged delivery, and smart data use to avoid wasted time and resources.
Discover Apple Health MCP Server—our open-source tool to export Apple Health data into Elasticsearch for analysis. Structure, tools, and use cases inside.
Learn what the Model Context Protocol (MCP) is, how it works, and why it matters for AI integration. Clear examples and open-source use cases inside.
How to build useful datasets from day one — even if you’ve only got a few hundred users.
Essential AI and LLM terms every healthtech leader should know—explained in plain language with real-world healthcare examples.
Add AI to your healthcare app without a rebuild. Learn integration patterns, governance must‑dos, and UI tweaks for safe, compliant LLM features.
Build AI that work in real-world healthcare and get the strategic framework & practical tools to make best AI investment decisions in HealthTech.
Discover 13 make-or-break questions that determine healthcare AI success. From HIPAA compliance to clinical adoption—get answers before you invest.