May '25 Updates
Terra's Latest Innovations: Major updates to our Lab report API, and updates to our Apple Health iOS integration & Android SDK
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TL;DR:
Biomarker API speed and accuracy massively improved—200% faster processing, ~150 new standardized units, and better report parsing.
Apple Health integration enhancements for precise activity tracking and historical data recovery.
Terra Android SDK made more reliable, with optimized Health Connect interactions to avoid crashes and rate limits.
🧬 Major Boosts to the Blood Biomarkers API!
What?
We’ve significantly upgraded our Blood Biomarkers API, adding support for approximately 150 standardized unit enums, enabling clear and consistent biomarker tracking. Additionally, biomarker processing speeds have been boosted by ~200%, cutting the report processing time in half! We’ve also introduced support for nuanced classification with “borderline” reference ranges, standardized dates and times to the ISO8601 format, and improved our parsing algorithms to handle a wider variety of report formats smoothly. 📊⚡️
⚙️ How?
Our engineering and data science teams meticulously mapped biomarkers to standardized enums, enhancing clarity and consistency across labs. We optimized our parsing and ingestion pipelines, significantly increasing report processing speed. Additionally, we fine-tuned our machine learning models to recognize more report types, ensuring that our parsing is robust, comprehensive, and extremely reliable across diverse inputs. 🛠️🧠
🤔 Why?
Accurate, rapid, and consistent biomarker data is vital for health and wellness platforms. These improvements dramatically enhance the integration experience, providing developers with clean, standardized data quickly and reliably, enabling deeper insights and better user outcomes. 🚀📈
🍏 Enhanced Apple Health Integration!
What?
Terra’s integration with Apple Health just got smarter! We’ve added functionality to use workout predicates (for any HealthKit nerds out there 🤓) , ensuring each activity’s data is exclusively tied to the correct workout session. Moreover, our improved background data delivery system now reliably fetches data further back in time, even if synced late, making sure no vital health insights are missed. 📱⏱️
⚙️ How?
We've dedicated extensive hours to optimizing our data for large language models (LLMs). These agents can access both current and historical user data, and build a complete understanding of a users' health & fitness levels. Initially, we've launched with GPT-4o and Claude, with plans to add Gemini and others soon. 🕒🔍
🤔 Why?
These improvements ensure developers and end-users have access to precise, accurate, and timely data, dramatically enhancing the usability of the integration. Health apps relying on accurate data can now trust Terra to deliver exactly what they need, precisely when they need it. 🌟🏃♀️
🤖 Terra Android SDK — Smarter Health Connect Integration!
What?
Our Android SDK’s Health Connect integration is now more robust and efficient! We’ve optimized how requests are handled, greatly reducing the likelihood of hitting Health Connect’s rate limits. Additionally, we’ve addressed and resolved an issue that occasionally led to crashes when rate limits were reached. Stability and reliability have never been better! 🤖📈
⚙️ How?
We carefully refined the SDK’s request handling mechanisms, adding smarter logic to control API calls and prevent rate-limit breaches. We also strengthened our error handling procedures, ensuring graceful recovery instead of crashes whenever limits are encountered. 📲🛡️
🤔 Why?
Stability is paramount for developers and users alike. These improvements significantly enhance user experience and reliability, ensuring smoother integration, fewer disruptions, and an all-around superior developer and user experience. 💪⚡️
