Medical & Health Analysis
Transform complex health situations into evidence-based insights you can bring to your medical team.
Part of SparkData's multi-domain research and analytics services
What We Do
We analyze complex health situations using multi-model AI combined with scientific literature to help you understand:
- Supplement Interactions: How new or existing supplements might interact with each other or medications
- Medication Conflicts: Potential pharmacological interactions and mechanism analysis
- Unexplained Symptoms: Data-driven hypothesis generation based on timeline and regimen changes
- Evidence Synthesis: Comprehensive reports combining multiple AI platforms and peer-reviewed research
Privacy first: All AI analysis is performed on de-identified case data. We remove direct identifiers and use neutral labels before sending any information to AI research platforms.
Important Disclaimer
SparkData Analytics is an independent research and analytics firm. We provide evidence synthesis and analysis for educational and informational purposes only. This service focuses on medical and health-related data and is not a substitute for care from a licensed healthcare provider.
This is not medical advice. All health-related decisions, including changes in medication, supplementation, and diet, must be made in consultation with a qualified healthcare professional who knows your specific situation.
Our 5-Phase Process
Each analysis follows a rigorous, systematic approach to ensure comprehensive and accurate results.
Phase 01: Intake & Problem Framing
We gather all relevant data: timeline of events, supplement/medication regimen, symptom logs, lab values, and medical reports. The goal is to distill your narrative into a precise, analyzable research question.
Phase 02: Data Acquisition & Literature Review
Systematic search across PubMed, Google Scholar, and evidence-based databases (Examine.com) for pharmacology, mechanisms of action, pharmacokinetics, and documented side effects for every relevant substance.
Phase 03: Multi-Model AI Analysis
Your case is analyzed independently through SparkData's proprietary orchestration layer using GPT 5.2 Pro, Claude Opus 4.5, Gemini 3.0 Pro, and Perplexity Deep Research—with CoVe verification and contrarian analysis at every step.
Phase 04: Triangulation & Synthesis
Cross-validation of findings across all platforms. Iterative fact-checking and verification of primary sources. Synthesis using rigorous analytical frameworks to identify convergent evidence and data gaps.
Phase 05: Report Delivery
You receive a comprehensive HTML report including: clinical presentation summary, primary proposed mechanisms, timeline analysis, contributing factors, evidence-based corrections, suggested clinical considerations, critical data gaps, and key questions for your medical team.
What You Receive
A comprehensive, professionally-formatted evidence synthesis report designed for collaboration with your healthcare providers.
Comprehensive Case Overview
Subject profile, presenting symptoms, key timeline, baseline regimen, and peak biomarker data organized for clinical review.
Research Methodology
Full transparency on AI platforms used, cross-validation approach, and evidence synthesis methodology with proper disclosure statements.
Primary Proposed Mechanisms
Detailed explanation of the most likely pharmacological or physiological contributors supported by literature and timeline correlation.
Clinical Considerations
Suggested immediate actions, critical data gaps to address, and specific questions formulated for your doctor appointments.
Ready to Get Evidence-Based Clarity?
Whether you're dealing with unexplained symptoms, medication concerns, or complex supplement interactions, we're here to help you understand the data.