Intelligent thyroid health tracking

Production-grade digital health application built on a Retrieval-Augmented Generation (RAG) architecture.

The system combines curated medical documentation with user-specific health data to deliver personalized, context-aware support. During onboarding, users share information about their condition, treatment status, and decide which data they want to provide, maintaining full control over their privacy from the start. This allows the assistant to focus exclusively on the user’s specific thyroid condition.

The LLM-based assistant leverages the user’s historical data to interpret patterns and changes over time. Combined with endocrinology-focused knowledge, the system can help surface early signals compatible with flare-ups, imbalances, or pre-thyroid phases that may warrant closer attention.

Vector search dynamically retrieves relevant lab values, symptoms, and historical context, ensuring responses are grounded in the user’s real data rather than generic medical information. The assistant operates within strict safety boundaries: it interprets, explains, and contextualizes information, but does not provide diagnoses or treatment recommendations.

Designed for long-term monitoring, Thyro helps users track and organize thyroid-related data over time, supporting continuity between medical visits and extended periods of self-management.

RAG

Vector Search

LLM

Digital Health

Time-series Data

13:34

Good afternoon,

Marina

How are you feeling today?

Today's Logs

Medication

All doses taken

Heart Rate Range

Resting: 68 bpm

Range: 62 - 85 bpm

Sleep

7h 32m

Efficiency: 85%

Quick Actions

Symptoms & Medication

Track daily status

History

Review progress

Health Assistant

Ask your questions

Lab

Upload & analyze

What it is

Thyro is a native mobile application designed to support people living with thyroid conditions by centralizing lab results, symptoms, and health signals into a single intelligent system. Through longitudinal analysis of this data, it can help identify early signals compatible with thyroid alterations, even in phases where no formal diagnosis has yet been made.

Who it is for

Thyro is built for individuals managing long-term thyroid conditions, as well as for digital health teams exploring patient-facing products where AI-supported data interpretation adds value without replacing clinical decision-making.

The problem it solves

Thyroid conditions often evolve gradually, while medical appointments may be spaced months apart. During these gaps, subtle symptom changes, lab variations, or lifestyle patterns can be overlooked or hard to recall. Thyro brings this information together and supports pattern interpretation over time, helping surface early signals that may indicate relevant changes and enabling more structured medical follow-ups.

Why it matters

Managing thyroid health is a long-term, data-intensive process. Thyro shows how pattern interpretation in health data, supported by artificial intelligence, can help individuals better understand their personal evolution, reduce data fragmentation, and improve continuity between daily life and clinical care.

13:34

History

Symptom

Fatigue
Today09:30 AM
Brain fog
2 days ago11:00 AM
Hair loss
3 days ago10:15 AM

Medication

Levothyroxine

75 mcg08:00 AM

28/30 doses taken this month

Heart Rates

Monthly average

Heart Rate Range

Resting: 68 bpm

Range: 62 - 85 bpm

Sleep

Monthly average

Sleep

7h 32m

Efficiency: 85%

TSH

TSH Levels (mIU/L)

Last 18 months (tests every 3 months)

Aug2023
7.2
Nov2023
6.1
Feb2024
5
May2024
4.2
Aug2024
3.1
Nov2024
2.4

Trend: TSH levels have improved significantly over the past 18 months

Key capabilities

Personalized onboarding

The onboarding process collects essential information about the user’s condition, treatment status, and specific thyroid pathology. Users also decide from the start which data they want to share, retaining full control over privacy. This setup allows the AI assistant to interpret data within the user’s specific context.

17:56
Step 1 of 3

Welcome to Thyro

A quick setup so Thyro can personalize your endocrine health experience.

Hashimoto's Thyroiditis

Select Condition

Graves' Disease
Hashimoto's Thyroiditis
Hypothyroidism
Hyperthyroidism
I don't have any condition

AI-supported thyroid health assistant

A conversational assistant with endocrinology knowledge helps users interpret personal health data, review symptoms and lab results, understand medical terminology, and analyze historical patterns. It does not replace medical professionals, but acts as a support tool for daily tracking and visit preparation.

18:12

Health Assistant

Hello Marina, how are you feeling today?

Can you explain my latest TSH results?

Your latest TSH from January 15, 2024 is 3.1 mIU/L, which is within the normal range (0.4-4.0 mIU/L). Good news - this is actually lower than your August reading of 3.5, showing improvement. Your levels have been stable around 3.1-3.5 over the past few months, and you're doing well managing your Hashimoto's. Keep tracking and we can monitor any changes together!

Lab report analysis (PDFs & images)

Users can upload lab reports as PDFs or images. The system extracts and structures biomarkers, enabling longitudinal comparisons and AI-supported interpretation across multiple reports.

18:22

Lab Results

Upload Lab Result

Select a PDF file

Your Lab Results

Nov 15, 2024
processed

result-Nov-2024.pdf

PDF Document

Aug 10, 2024
processed

result-Aug-2024.pdf

PDF Document

May 18, 2024
processed

result-May-2024.pdf

PDF Document

Feb 12, 2024
processed

result-Feb-2024.pdf

PDF Document

Nov 20, 2023
processed

result-Nov-2023.pdf

PDF Document

Aug 15, 2023
processed

result-Aug-2023.pdf

PDF Document

Apple Health integration

Thyro integrates with Apple Health to automatically collect signals such as heart rate and sleep. These data points enrich the health timeline and pattern analysis without adding friction for the user.

18:38

Settings

Marina

Preferences

Customize what information you want to track

Weight Tracking

Track body weight

Daily Reminders

Receive a gentle nudge at 8:00 PM if you haven't logged your day.

Apple Health

Heart Rate and Sleep data are automatically synced from Apple Health

Privacy & Consent

Manage your privacy consents and data usage

I accept the Terms of Use and Privacy Policy

Required for full use of the app.

I consent to the processing of my health data

Includes symptoms, medications, lab results, and medical history.

I consent to the use of medical AI tools

Symptom & medication tracking

Users can log symptoms, medication intake, and personal notes over time. This data becomes part of a structured timeline used to support historical review and identify gradual changes.

18:45

Daily Log

Current Symptoms

Reports & historical insights

Thyro generates clear summaries across weeks and months, helping users visualize trends, progressive changes, and potential early warning signals in an organized, accessible way.

14:20

Reports

Symptoms Summary

Last month

Total Symptoms Logged

24

Most Common

Fatigue35%
Headache22%
Brain Fog18%
Anxiety15%
Insomnia10%

Heart Rate

Heart Rate Range

Resting: 68 bpm

Range: 62 - 85 bpm

Sleep

Sleep

7h 32m

Efficiency: 85%

Create Your Report

AI & data architecture

Thyro uses artificial intelligence as an interpretation support layer, not as a clinical decision-maker. The assistant relies on a RAG architecture combining curated medical documentation with user-specific data.

Vector search dynamically retrieves relevant lab values, symptoms, and historical context, enabling longitudinal pattern analysis while keeping responses grounded in real user data.

The assistant does not provide diagnoses or treatment recommendations. Its role is to interpret, explain, and contextualize existing information to support medical follow-up.

Security & privacy

Thyro is designed from the ground up to handle sensitive health data. All data remains user-owned, securely stored, and accessed only with explicit consent.

The product is progressing through formal information security and quality certification processes, reinforcing a rigorous approach to data handling and system design. AI behavior is clearly constrained, and no automated health decisions are made.

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