Organizing wellness knowledge across traditions
Syndromic builds the intellectual framework for wellness informatics — the science of structuring what we know about well-being so it can be reasoned with across disciplines, traditions, and systems. The goal: interpretive experiences that help individuals and organizations make meaning from complexity, rather than prescriptive encounters that reduce it.
The wellness industry generates an enormous volume of knowledge — from biomedical research to Ayurvedic constitutional analysis to behavioral health data. None of it talks to the rest. A functional medicine provider's lab panel can't communicate with an acupuncturist's meridian assessment. A yoga app's movement data doesn't inform a psychotherapist's intake. The result is that the most important question in wellness — What is right for my well-being? — gets answered in fragments, by whichever tradition the individual happens to encounter first.
Wellness informatics is the discipline that addresses this. It organizes, standardizes, and harmonizes wellness knowledge so that it can be traversed, reasoned with, and applied across traditions. Syndromic is a portfolio of ideas, frameworks, and applied analyses building this discipline from the ground up.
Writing
The methodology paper: gather biomedical labels, classify, comorbidity analysis, subnetwork identification, inference, parsimony, remedies.
Argues that biomedical labels lack context and that syndromic interpretation — looking at co-occurrence patterns across body, mind, and tradition — enriches them.
Applied syndromic reasoning: connects IBS to childhood emotional patterns, the gut-brain axis, and Ayurvedic digestive fire.
Systematic review harmonizing nine studies on Long Covid symptoms. Demonstrates the need for informatics in evidence synthesis.
Uses the airline booking system as an analogy: wellness needs aggregation and navigation infrastructure, not just more content.
Introduces wellness informatics as a discipline — the science of organizing wellness knowledge — and argues that the explosion of wellness information demands it.
Proposes a wellness knowledge graph as the backbone infrastructure, reviews existing ontologies, and argues for cross-tradition reasoning chains.