Detect Earlier. Diagnose Faster. Improve Outcomes.

Timing is critical in neurodegenerative diseases, yet diagnosis often comes too late. Origent’s ForecastOne® Clinical Decision Support platform uses AI to detect early signs of conditions like ALS by analyzing structured EHR data. With clear, actionable alerts, clinicians can refer high-risk patients sooner and close the gap between symptoms, diagnosis, and treatment.

The Problem

Many ALS patients wait 12–15 months for a diagnosis, losing valuable time for treatment and trial access. Early clues are buried in fragmented records, delaying care and limiting the impact of promising therapies.

The Solution

EHR-Integrated AI – That Surfaces What Others Miss Origent’s clinical decision support platform works within existing EHR systems, using predictive models to identify early risk patterns and generate evidence-based alerts for timely referrals. This compresses diagnostic timelines and improves access to treatment and research opportunities.

How It Works

Origent analyzes structured patient data with validated predictive models to detect subtle disease signals. Clinicians receive clear, actionable insights that enhance—not replace—clinical judgment, leading to earlier diagnosis and better outcomes.

Why It Matters

• For Patients: Faster answers, timely treatment, and eligibility for innovative clinical trials.
• For Clinicians: Reliable, explainable AI support that fits naturally into daily practice.
• For Researchers & Sponsors: Accelerated patient identification, stronger real-world data, and greater ROI on emerging therapies

Our Vision

Origent’s mission is to shrink diagnostic delays for ALS and other neurodegenerative diseases—one of the greatest barriers to effective care. By bringing AI-powered early detection to the point of care, we enable faster action, better outcomes, and a future where no patient navigates uncertainty alone.