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Peptides - What's Healthy

Explore peptide research, evidence scores, safety signals, and provider context in one app

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Peptides app scan showing a semaglutide profile
Safety Signals
Side effects reviewed
FDA Status
Approved contexts tracked
Research Score
93 / 100 strong
Provider Context
Sourcing notes
Cautions
Flags and interactions
Human Studies
30 indexed

Research

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Frequently Asked Questions

How the Peptides app, scoring system, and research summaries fit together.

What is Peptides?

Peptides is a research app for exploring peptides, provider context, side effects, scientific sources, comparisons, videos, and saved research notes in one place.

Is this medical advice?

No. Peptides is for research and education. Scores and summaries help compare available evidence, but they are not diagnosis, prescribing guidance, or a recommendation to use any peptide.

How does the scoring work?

Peptide profiles use a 0-100 research confidence score when peptide intelligence is available. The score is supported by evidence subscores, goal scores, safety scores, practical scores, missing inputs, and editorial review flags.

What does Top Rated mean?

Top Rated sorts peptides by research confidence when that score exists. If a peptide has not been scored yet, the app falls back to an editorial coverage score based on sources, providers, benefits, and comparison data.

Where does the data come from?

The app uses scientific source links, clinical evidence summaries, provider context, comparison pages, learning guides, research articles, and product video research.

Why do some profiles need editorial review?

Some records are flagged when inputs are missing, confidence is low, or a score needs human review. These flags keep the scoring system conservative as the database grows.

What does the scan feature do?

The app can scan or upload a product image, run text recognition, compare the recognized text against peptide records, and let users request a peptide be added when no match is found.

Can I save peptides?

Yes. Signed-in users can save peptide profiles and build a personal list to revisit. Saved and viewed activity also helps surface community trends without replacing the research score.