Question 1

How does OM1’s AI-driven PhenOM platform enhance personalised medicine and clinical decision-making?

Accepted Answer

OM1’s PhenOM platform leverages AI-powered digital phenotyping using a vast repository of longitudinal health data from over 340 million patients. It identifies unique digital phenotypes or patient “fingerprints” by integrating multi-source clinical data, including unstructured notes and disease activity metrics. These phenotypes enable healthcare providers and researchers to deliver personalised treatment insights, predict patient outcomes, and identify underdiagnosed conditions at the point of care. PhenOM supports a proper precision medicine approach by translating population-level patterns into actionable insights for individual patients.

Question 2

How does OM1 help accelerate and optimise clinical research and trial recruitment?

Accepted Answer

OM1 offers specialised AI products, such as OM1 Polaris, that utilise real-world evidence and phenotypic profiles to streamline clinical trial recruitment. By predicting patient outcomes and identifying eligible patients, investigators, and sites, OM1 reduces recruitment timelines, lowers costs, and increases the likelihood of trial success. Its deep clinical data insights also aid in uncovering unmet medical needs, barriers to care, and complex disease progression patterns, ultimately enhancing research efficiency and accelerating the development of innovative therapies.

Question 3

What distinguishes OM1’s real-world data and AI platform in terms of data quality and reliability for life sciences?

Accepted Answer

OM1’s datasets are validated for high quality, completeness, and standardisation, such as their Rheumatoid Arthritis dataset, which boasts over 12 years of longitudinal follow-up data and standardised clinical disease activity measures. OM1 employs rigorous automated assessments to ensure accuracy, with error rates below 1%, providing life sciences organisations with trustworthy, regulatory-grade real-world data for evidence generation. This high data integrity enables confident decision-making in drug development, patient care, and regulatory submissions.

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