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  • Professor Andrea M. Armani, University of Southern California
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Elivion.ai Unveils Next-Gen Longevity Intelligence Infrastructure to Accelerate Human Healthspan Research

NEW YORK, NY, NY / ACCESS Newswire / October 10, 2025 / In a bold leap for AI and longevity science, Elivion.ai today announced the official launch of its comprehensive Longevity Intelligence Infrastructure, designed to unify biological, behavioral, and environmental data into a cohesive, causal AI framework. The platform promises to accelerate discoveries in aging, disease prevention, and personalized health interventions.

Elivion aims to break down long-standing silos in health and life sciences data. By offering integrated modeling that brings together genomics, wearable sensor data, clinical biomarkers, lifestyle inputs, and environmental context, the system empowers researchers and biotech developers to derive mechanistic insights into aging and disease processes. According to the company, this level of data fusion and causal modeling has not previously been available at scale.

We're building more than an AI tool - we're building a scientific nervous system for longevity research, said co-founder of Elivion.ai. "When data from every dimension of life can speak in the same language, experiments accelerate, hypotheses sharpen, and interventions can be more precisely tailored."

Bridging Data, Causality & Intervention

At the core of Elivion.ai is a digital twin architecture: individualized models that simulate a person's health trajectory over time. Researchers can test in silico how interventions-such as dietary changes, pharmacological treatments, or exercise regimens-might shift that trajectory before deploying them in real-world trials. The goal is to reduce wasted resources by filtering out strategies unlikely to succeed.

Another distinguishing feature is Elivion.ai's emphasis on explainable and causal AI. Rather than treating models as black boxes, the system surfaces mechanistic pathways and potential causal links between lifestyle, biomarkers, and aging outcomes. This transparency is critical for gaining scientific trust and translating AI results into actionable programs.

Further, Elivion.ai includes real-time healthspan forecasting, allowing users to dynamically model risk zones or critical transitions before they occur. For biopharma companies or longevity clinics, this capability offers a powerful tool for stratifying participants, designing adaptive trials, or optimizing personalized regimens.

Early Partnerships & Validation Efforts

While the platform is now generally available, Elivion.ai has already begun piloting with select research institutions and biotech partners (under non-disclosure). These early deployments focus on validating predictive models of biomarker trajectories, identifying novel longevity targets, and refining the simulation engine across diverse cohorts and populations.

By benchmarking predictions against longitudinal aging studies, the company is calibrating its models to distinguish healthy aging versus accelerated decline. These validation efforts will be key to attracting broader adoption in academic, clinical, and commercial settings.

Invitation to Collaborate: The Longevity Opportunity

Elivion.ai is now extending invitations to biotech firms, academic labs, longevity clinics, and healthtech developers to join its ecosystem. Partners may opt for technical access, co-development projects, or integration of Elivion's AI modules into their pipelines.

"In many fields, progress is blocked by fragmented data and opaque models. In longevity, those problems are magnified," added [Name]. "We believe that by sharing a common infrastructure for aging intelligence, innovation accelerates across the board."

The company also plans to host workshops, hackathons, and developer programs to broaden engagement and ensure the system evolves with community contributions.

For more information please visit a website, https://www.elivion.ai/.

About Elivion.ai

Elivion.ai is a pioneering AI infrastructure for longevity and healthspan research. Its mission is to unify multilayered health data, embed explainable causal models, and simulate personalized trajectories that accelerate scientific discovery and intervention. The platform is designed for use by researchers, biotech firms, clinics, and developers who want to harness AI to push the boundaries of human health.

Media Info

Name: Sebastián Emilio Loyola
Organization: Elivion
Email: contact@elivion.com
Website: https://www.elivion.ai/

SOURCE: Elivion.ai



View the original press release on ACCESS Newswire

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