Detecting disease earlier is only half the answer.
Oculomics-enhanced early detection!
Oculomics-enhanced early detection!
In dementia and diabetes — particularly in the senior population — the clinical system faces a dual failure: diseases are caught too late, and even when detected, clinicians lack the biological context needed to guide meaningful intervention.
Gap 1 — Diagnosis comes late
By the time dementia and diabetes are clinically visible, they have often progressed for 5–10 years. In seniors, overlapping conditions make this even harder to catch — and by then, treatment options are limited.
Standard screening confirms that disease is present — but not why. Without understanding the underlying biological drivers, clinicians cannot tailor interventions, predict progression, or confidently guide remediation.

Without early detection and root-cause clarity, the entire system bears the cost.
For health providers
For insurers

The Inflammatory, Immunologic & Cognitive Mapping platform integrates three accessible, clinically validated data streams — then uses AI to map the specific biological drivers promoting disease in each patient, giving clinicians the context to act, not just diagnose.
Signal 01
Non-invasive eye scans revealing neurological and vascular changes associated with cognitive decline — detectable years before symptoms emerge.
Signal 02
Blood-based mapping of inflammatory markers that expose the biological drivers of metabolic and cognitive disease at the cellular level.
Signal 03
Structured assessments detecting subtle cognitive deficits that standard tests overlook — particularly in at-risk senior populations.
Advances in multi-modal data analysis — including Oculomics, the study of systemic disease through the eye — now make it possible to surface disease signals years earlier, and to identify the specific biological mechanisms promoting progression. For clinicians, this means earlier, more informed diagnostic decisions and targeted remediation. For insurers, a measurable path to reduced long-term costs.
WHAT'S NOW POSSIBLE — 1
By integrating OCT retinal imaging, cytokine biomarker analysis, and advanced cognitive testing, IICM™ surfaces biological signals years before they become clinically visible — giving doctors the data they need to identify at-risk patients and diagnose earlier and with greater certainty.
WHAT'S NOW POSSIBLE — 2
Detection alone isn't enough. IICM™ maps the specific inflammatory and metabolic drivers promoting disease in each patient — giving clinicians the biological context to design interventions that address root cause, not just symptoms.
For health providers & clinicians
For insurers & payers
Beyond surfacing early signals, IICM™ maps which inflammatory and metabolic mechanisms are actively promoting progression — giving each clinician a patient-specific biological picture to inform diagnosis and guide remediation.
INFLAMMATORY
Elevated pro-inflammatory cytokines (e.g. IL-6, TNF-α) accelerate neurodegeneration and insulin resistance. IICM™ identifies which are active — and informs which interventions can modulate them.
METABOLIC
Chronic insulin resistance impairs brain glucose metabolism — a known precursor to both Type 2 diabetes and Alzheimer's-type dementia. Surfacing this driver early opens a concrete remediation window for clinicians to act on.
INFLAMMATORY
Persistent subclinical inflammation creates a biological environment that promotes cognitive and metabolic disease — detectable and addressable before it causes irreversible damage.
METABOLIC
Oxidative stress markers linked to metabolic dysfunction are detectable in blood long before organ damage occurs — providing clinicians with an early, targeted intervention opportunity.
See our recent publication:
https://www.medrxiv.org/content/10.1101/2025.10.14.25337174v1.full.pdf+html
Copyright © 2023 Ascento CDA - All Rights Reserved.
Contact: info@ascento-cda.com
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.