Prevention Research Consortium Corp

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ABOUT US

Prevention Research Consortium Corp is a non-profit organization focused on reducing the global burden of dementia.

Our vision is to utilize genomic and biomarker analysis tools to create a proteogenomic risk assessment model that accurately predicts the future incidence and stage of multiple subtypes of late onset Alzheimer's Disease . We plan to advance our model to all forms of dementia prediction after completion of a 2 year observational clinical study focused on validating a proteogenomic model for identifying high Risk LOAD patients 10 years before dementia symptoms develop. The study's findings could revolutionize early intervention strategies for dementia care.

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Who we are

Prevention Research Consortium Corp is a non-profit organization focused on reducing the global burden of dementia. Our members include an interdisciplinary team of Genomics Experts, Proteomic Specialists, Neurologists, Psychiatrists, Primary Care Providers, Caregivers, Dementia Patients, Digital Technologists, Bioinformaticians, AI Specialists, and Generalists.

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Our Mission

We aim to assess scalable biomarker tools for prediction and staging of mild cognitive impairment due to early Alzheimer's Disease.

We then plan to scale these proteogenomic and ai tools to enhance early detection of all adult dementias and subsequently other diseases. Our goal is to lead the transition from precision medicine to precision health. By integrating technology and clinical research, we aim to personalize healthcare for better outcomes and prevention. Our mission is to utilize evidence-based detection and prevention strategies that reduce the global burden of dementia. Join us in making a meaningful impact in the world of healthcare innovation.

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Our Approach

We evaluate the sensitivity and specificity of biomarker tools with a focus on early prediction or diagnosis of Late-Onset Alzheimer's Disease (LOAD). While our current efforts center on Alzheimer's, our General Proteogenomic and Exposome Approach is broadly applicable to advancing precision healthcare across a wide range of conditions. Our Working LOAD Disease Model ( imaged above ) is being validated in the first prospective human clinical study designed to assess the accuracy of tools for the the prediction and stratification of Mild Cognitive Impairment (MCI - The precursor to Alzheimer's Disease). Our approach it to continuously evolve our mathematical models and data collection tools to meet the challenges of predictive analytics.

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