The DrRuby Collaborative · a research platformFor individuals → drruby.ai
The DrRuby Collaborative

Build the future of longitudinal learning.

Join physicians, scientists, and institutions defining a new way to learn from real-world human experience — one person, observed carefully, over time.
What it is
A shared platform turning structured, longitudinal self-observation into research-grade data.
Design
Prospective, multiple N-of-1 — individual trajectories, examined across many.
Status
Inviting founding clinical, research, and institutional collaborators.
The method · learn together

One person, observed carefully, many times over.

Population studies tell you what happens on average. Multiple N-of-1 keeps each person’s trajectory intact — then looks for structure across many of them. It is the engine underneath everything DrRuby does.
01
Structured self-observation

Context, treatments, and change captured over time in a consistent, timestamped structure — original context never overwritten.

02
Within-person trajectories

Each participant becomes a longitudinal case — an N-of-1 series preserving sequence, not just endpoints.

03
Aggregation across many

Patterns examined across many individual series — signal without flattening each person into an average.

04
Collaborator-led inquiry

Clinicians and investigators define the questions; DrRuby provides the longitudinal substrate.

Why multiple N-of-1
Keep the individual’s story intact — then look for what repeats across many.
Real-world, longitudinal, participant-generated observation. Not a clinical trial, not a diagnostic claim — a substrate for careful questions.
Collaborate

Four ways to build with us.

The entrance is open; the work inside is tailored to who you are. Research programs, protocols, data governance, and publications are defined together.
For Physicians

Clinical partnership

Shape best-practice questions and see structured, longitudinal context from real patients’ own records.

  • Co-design research questions
  • Best-practice database
  • Referral / hand-off design
For Researchers

Longitudinal & AI

Access a growing, consented, de-identified longitudinal substrate for N-of-1 and cohort inquiry.

  • Study design & data access
  • Multiple N-of-1 methods
  • Joint publications
For Institutions

Universities, systems, foundations

Partner at the program level — academic centers, health systems, and funders.

  • Program-level collaboration
  • IRB & data agreements
  • Multi-site research
For Industry

Independent evaluation

Independent, real-world evaluation of devices and products — never an endorsement, never influenced by sponsorship.

  • Independent validation
  • Own consent & rules
  • Results not for endorsement
For registered collaborators

The details live behind sign-in.

This page is an open invitation. Specific active projects, participating institutions, collaboration opportunities, protocols, and full governance documentation are shared with registered collaborators.
Inside

Active projects & institutions

Current studies, participating universities and health systems, principal investigators, and how to join each.

Inside

Protocols & governance documents

Full study protocols, IRB materials, and data-use agreements.

Access is granted to verified clinicians, researchers, and institutional partners.
Governance & ethics

Built to be trusted with sensitive data.

Longitudinal health observation only works if the ethics come first. These are the commitments every collaborator can expect — and every participant is protected by.
Ethics review
IRB oversight

Human-subjects research runs under appropriate ethics review and approved protocols — not ad hoc.

Consent
Informed & specific

Research participation is opt-in, informed, and specific; participants can withdraw.

Data
Governed & de-identified

Research data is governed, minimized, and de-identified for analysis. Individual histories are not a commodity.

Integrity
Original context preserved

Observations are append-only — original context is captured and never overwritten.

Using DrRuby is not the same as participating in research.Most people simply use the personal app for themselves. Research participation is a distinct, consented step — never automatic, never assumed.
These are our public commitments. Full governance documentation, protocols, and data-use agreements are available to registered collaborators.
Founding science advisor

Charles Brenner, PhD

Professor of Metabolic Regulation, University of Helsinki. (Advisor listing pending confirmation.)

Get in touch

Are you a clinician, researcher, or institution?

If you work in OB/GYN, dermatology, women’s health, or longitudinal methods — or you represent a university, health system, or funder — we’d like to talk.

For collaborators and prospective partners. We respond personally — no marketing list.