Kitrus is a consumer health investigation platform that uses AI to connect your labs, medications, symptoms, and wearable data — then cross‑references them against medical research to surface patterns a single 15‑minute appointment might miss.
What is Kitrus?
Kitrus is an evidence‑based health analysis tool that takes inputs such as lab results, medication lists, supplement regimens, symptom logs, and wearable data (e.g., sleep, heart rate). It outputs a connected view of how these factors interact — flagging medication‑nutrient depletions, lab values that fall outside optimal wellness ranges, or temporal trends like sleep changes after a new prescription. The platform is web‑based and built by Kitrus (kitrus.ai), whose AI has achieved the highest scores on most health benchmarks.
Key Features
- Medication‑Nutrient Interaction Detection — Automatically flags common depletions (e.g., SSRIs lowering B12) using databases like ChEMBL, BindingDB, STITCH, and FAERS.
- Optimal Wellness Range Comparison — Contrasts lab results against both reference ranges and individualized wellness ranges to highlight values that are technically “in range” but associated with symptoms.
- Wearable Data Integration — Imports trend lines from devices (e.g., sleep, heart rate) and aligns them with calendar events such as medication changes to surface correlations.
- Multi‑Panel Lab Stitching — Combines lab results from different dates and sources to show longitudinal trends (e.g., free T3 drifting across seasons) instead of isolated snapshots.
- Continuous Evidence Review — Pulls fresh data from PubMed, ClinicalTrials.gov, drug labels, PharmGKB, ClinVar, and 16 other sources on demand; every connection links to its source.
- Condition‑Specific Context — Pre‑configured to support investigations for PCOS, Hashimoto’s, endometriosis, long COVID, chronic fatigue, fibromyalgia, histamine intolerance, perimenopause, IBS, iron deficiency, and autoimmune conditions.
- Three‑Step Workflow — Connect health data once, review the AI‑generated pattern analysis, then download a summary of questions and context for your next appointment.
Who is it for?
- People with unexplained symptoms — Those whose lab results came back “normal” but who still feel unwell; they upload their data to see if medication‑nutrient gaps or optimal‑range deviations offer new angles.
- Individuals managing chronic or autoimmune conditions — Patients with overlapping diagnoses (e.g., Hashimoto’s + endometriosis) who need to see how prescriptions, labs, and symptoms interact across time.
- Longevity and recovery seekers — Users focused on performance, optimization, and long‑term health who want to correlate wearable trends with supplement timing or medication changes.
What can you do with Kitrus?
- Investigate a medication side effect: A user on an SSRI experiencing fatigue uploads their labs; Kitrus flags the drug’s B12‑depleting effect and suggests checking that marker next visit.
- Uncover a hidden trend: A user with seasonal thyroid panels discovers that free T3 has dropped gradually over two tests — a pattern their patient portal never showed — and brings this trend to their endocrinologist.
- Connect wearables to medication changes: A user’s sleep quality drops two weeks after starting a new prescription; Kitrus aligns the wearable trend line with the calendar date, creating a clear question for the next refill discussion.
