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Causal Human Evidence Pushing the Frontier of Known Biology

Pheiron is pioneering AI research at the intersection of genetics, epidemiology and medicine to push the frontier of known human biology.

We build and advance methods that turn real-world population-scale human data into causal evidence: to understand disease and to quantify how drug mechanisms behave in real human populations.

We help teams reduce biological risk, assess clinical validity and design translational strategies that maximize clinical success.

Explore Applications

Assessing Clinical Validity with AI‑Driven Human Evidence

White Paper

Learn how Pheiron allowed us to emulate clinical trials with AI and multi-omic patient data in our collaboration with DandelionHealth, a real-world data (RWD) provider. Assessing clinical validity with AI‑Driven Human Evidence

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Evidence‑on‑Demand: Evidence Dossier for Lp(a)

Sample Evidence Report

Learn how Pheiron generates and returns human evidence to drive and augment decisions on targets, mechanisms and populations any in-discovery or in-development program.

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Our Science

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
Nature Communications
January 2025
Glucagon-Like Peptide 1 Receptor Agonists and Cardiovascular Disease Risk: Findings from Real-World Data using AI-Powered Outcomes
In Press
September 2024
The GPS for drug development: navigating with evidence from human populations
Trends in Biotechnology
August 2024
A predictive atlas of disease onset from retinal fundus photographs
In Press
March 2024
A scalable, secure, and interoperable platform for deep data-driven health management
Nature Communications
October 2021
Metabolomic profiles predict individual multidisease outcomes
Nature Medicine
September 2022

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Human Evidence
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