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Enabling Precision Medicine
to treat and prevent
inflammation-caused diseases

We use Big Data and Machine Learning to provide B2B and B2C  
solutions for diagnostics, monitoring, and therapeutic decisions  
on major chronic inflammatory diseases. 

Our vision is to empower patients, payers, and providers with 
actionable insights in real-time.

More information coming soon - stay tuned!

 

Chronic inflammation is a leading risk and driver in virtually every chronic disease

For example, arthritis is the major cause of disability and loss of productivity in the United States with a burden of annually 128 Billion US$ and significant impairment of patients' lives.

The key to successful treatment is precise diagnosis and treatment optimization

Rheumatoid Arthritis—a common form of arthritis and an autoimmune disease—is a syndrome of various diseases and affects all ages. Appropriate treatment and drug discovery are hampered by insufficient measures to stratify patients into appropriate subgroups that are responsive to a given treatment.

An underserved billion dollar market 

The global market for improved disease management in inflammation is increasing, with major unmet needs in diagnostics and treatment. 

A disruptive approach

InnVentis is creating proprietary molecular and real-world reference databases, algorithms, and a safe/secure ICT architecture to allow precise real-time diagnostics, disease monitoring, and treatment decisions. We want our products and services to fundamentally change the ways that drugs for inflammatory disease are being developed and appropriate treatments are selected.

The right intervention and treatment, at the right time

With our solutions, we aim that, for the first time, patients with chronic inflammatory disease get the right intervention and treatment at the right time right upon diagnosis. Additionally, we want to empower patients to precisely monitor their personalized health and disease management program.
Our understanding of inflammatory disease etiology
will be boosted furtherby studies using multiple omics platforms.
By embracing big data and integrating host genetics with longitudinal [...] data,
the extent to which [...] any particular factors are associated
with disease may become apparent.
Nature Medicine Special Issue on Inflammation, July 2015
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