Three interactive diagnostic tools, five open-access white papers, and the Aging Read clinical document format — all built to establish Predictive Aesthetics™ as a category. Use the tools yourself; they're the same instruments that anchor every engagement at the practice.
Open methodology. Free to use, cite, and redistribute under CC BY 4.0.
Each tool below is self-administered, takes 3-7 minutes, and produces a structured report. They are not substitutes for in-practice imaging and evaluation — but they are the same diagnostic framework, made public.
Twelve inputs across demographics, lifestyle, health, and skincare — produces a 5-year aging forecast across six facial regions with intervention windows.
Ten-input self-assessment producing an 8-dimension scorecard: skin age, inflammation, collagen, barrier, volume, pigmentation, vascular, longevity. Composite + clinical brief.
The most comprehensive online aesthetic intake. 22 inputs across three skin-classification frameworks (Fitzpatrick · Baumann · Glogau), elasticity grade, concerns, history, budget. Outputs a complete treatment plan: Botox by region with units, filler type and syringe count, lasers, peels, microneedling, and full skincare protocol.
Open-access white papers covering the case for Predictive Aesthetics, the science of skin signals and early detection, the role of inflammation in facial aging, regenerative treatment outcomes data, and the quarterly state-of-the-field report.
A new category for measured, planned aesthetic care
The foundational paper establishing Predictive Aesthetics™ as a category. Documents the limitations of the reactive med-spa model, defines the PREDICT Method™, presents the case for skin imaging and functional labs as standard-of-care, and frames the longitudinal data infrastructure that distinguishes the category.
Reading what's coming before it shows up
Documents the visible and sub-visible signals that precede observable aging — pigmentation under the surface, micro-inflammation, vascular changes, collagen density decline. Includes the imaging methodology used at the practice and a framework for translating signals into intervention timing.
The upstream driver most practices miss
A clinical review of how systemic and skin-level inflammation accelerate facial aging — through collagen breakdown, barrier dysfunction, pigmentation, and vascular changes. Covers the functional lab markers worth running, the dietary and lifestyle drivers, and how inflammation status changes aesthetic treatment outcomes.
What works, what doesn't, what to sequence
A practice-level review of regenerative treatment modalities — microneedling, RF microneedling (Morpheus8), fractional CO2, VBeam, biostimulator filler. Includes outcome data, sequencing recommendations, contraindications by Fitzpatrick type, and the decision tree for selecting between modalities.
The first quarterly report on the field
The inaugural Q2 2026 quarterly. Documents emerging modalities, treatments in retreat, longitudinal outcomes from early adopters of predictive protocols, and the state of skin imaging technology. Includes anonymized longitudinal cases and a forecast for Q3 2026.
The clinical document at the heart of every engagement
The complete specification of the Aging Read™ document format — the clinical document produced at every Predictive Aesthetics Assessment™ and updated at every Calibrate session. Includes annotated example, document structure, and the rationale behind each section.
All five papers, both the methodology and the data, are released under Creative Commons Attribution 4.0 International. You may copy, redistribute, remix, transform, and build upon the material in any medium or format for any purpose, including commercial. Attribution to NASAESTHETICS · The Lab appreciated, not required by the license. The aesthetic category gets real when the methodology is in the open.
The Lab tools are self-administered. The practice version includes imaging, in-person evaluation, and functional labs — making the resulting Aging Read clinically actionable. Book the Assessment to move from self-screen to clinical document.