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constitution/1-introduction-and-challenges.md

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![APIs make siloed data useful](../assets/apis/apis-siloed-data.svg)
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### 1.4 Problems with knowledge about the underlying root of degenerative diseases (aging)
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If we would have reliable biomarkers for aging already, research could find interventions for the root cause of degenerative diseases which is aging itself. Despite many years of research, we still don’t have reliable biomarkers for aging. One of the main problems is the distance between genotype and phenotype. It is proposed that by studying the relationships between proteins and metabolites, essentially a multi-omic process, would allow the creation of “endophenotypes” to help identify a signature (Hoffman et al. 2017).
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![Multiomics appproach](../assets/data/omics.png)
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#### Problems with current biomarkers for aging:
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Hundreds of genes found to affect aging in model organisms do not have significant association with longevity in humans. Humans are genetically diverse in comparison to model organisms and this contributes to the weak signature of any set of genes towards longevity. Environmental effects on aging are relatively unknown.
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#### Problems with current approaches:
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A genome-wide association study (GWAS) is an approach used in genetics research to associate specific genetic variations with particular diseases. GWAS can only explain a small fraction of the heritability of many human traits, including aging. Transcriptomics can help, but it can’t explain the whole story. Proteomics is actually the enzyme workhorse of biology and the insight into protein levels is especially important. Metabolomics are the building blocks that proteins work with and is necessary for a better insight into the state of the running system.
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Rather than focusing on individual proteins and metabolites, a multi-omics approach can focus on pathway activation and how those pathways are maintained by individual entities and their relationships with each other. We want to identify the difference between young and old network states and be able to tell when an intervention is moving a system towards a more healthy state.
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#### [Next Solution](2-solution.md) 👉
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This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).

constitution/2-solution.md

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---
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description: >-
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How we can use existing data to reduce suffering and overcome the barriers to
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collaboration and data sharing
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How we reduce suffering using a decentralized autonomous organization as a vehicle to create an open-source health platform.
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---
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# 💡 Solution
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👈 [Back to Table of Contents](../)
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In short the solution is to create a software ecosystem that makes it easier or even possible to aggregate and analyze the oceans of real-world evidence sitting in data silos to discover new and more precise cures.
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### 2.1 Open source collaboration powered by a DAO
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With a lot of health applications in need for the same basic underlying technology for handling health data and missing data format standards and reference databases it is obvious that an open sourced collaborative approach would distribute development efforts for these businesses and making interoperability and portabilty of data more efficient.
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\-> TODO: Examples of successfull open source
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Within this whitepaper an addition to a regular open source collaboration approach a combination with the governance through a decentralized autonomous organization (DAO) is proposed. The advantages of this combination are
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The solution to the lack of progress and increasing expense of healthcare is to use the oceans of real-world evidence to discover new cures.
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* Better organization in working groups with organized project management from a core team
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* Compensation of interested developers for their contributions
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* Distributed voting to the community of collaborator instead of centralized management of soource code repositories
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* Funding vehicle for achievement of the open source software
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\-> TODO: detail Advantages -> TODO: Example of successful Open source software development + DAO if existent
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With these advantages an faster success and completion of the open source framework is projected, which means that the applications that need this software can get sooner into operation to achieve the overarching mission of faster interventions.
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### 2.2 A data-driven Approach to Personalized Medicine
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### 2.1 A data-driven Approach to Personalized Medicine
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Out of an existing pool of big health data an insilico model of human biology can be developed for the discovery of new interventions and their personalized application.
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One way to achieve this is to view the human body from a input-output black box systematic perspective and apply predictive machine learning models to [stratified groups](https://en.wikipedia.org/wiki/Stratified\_sampling) of similar people based on their data of their following profiles:
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One way to achieve this is to view the human body as a black box with inputs and outputs.
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We predictive machine learning models to [stratified groups](https://en.wikipedia.org/wiki/Stratified\_sampling) of
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similar people based on their data of their following profiles:
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* [Genomic](https://en.wikipedia.org/wiki/Genomics)
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* [Transcriptomic](https://en.wikipedia.org/wiki/Transcriptome)
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This will enable the discovery of the personalized full range of positive and negative relationships for all factors without a profit incentive for traditional trials.
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### 2.3 The Potential of Real-World Evidence-Based Studies
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### 2.2 The Potential of Real-World Evidence-Based Studies
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* **Diagnostics** - Data mining and analysis to identify causes of illness
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* **Preventative medicine** - Predictive analytics and data analysis of genetic, lifestyle, and social circumstances to prevent disease
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![journal of citizen science](../plugins/observational-studies-plugin/journal-of-citizen-science.png)
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Another example is to organize and harness the data and insights of the actions of the communities of people with specific conditions or performance enhancement experiments and pool this in a trial/ study way into knowledge for the public research to directly develop new cures or to take these findings as a basis to propose new clinical trials.
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#### [Next 3. Platform](3-platform.md) 👉
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This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).

constitution/4-incentivization.md

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This illustrates the flow of value between different stakeholders. As opposed to traditional zero-sum games, CureDAO provides a way for each self-interested party can derive more value from participation than they have to put into it.
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![](../assets/business/value-flow-chain.svg)
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![](../assets/incentivization/value-flow-chain.svg)
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### 1. Patients
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constitution/7-revenue.md

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2. Grants from governments modernizing their programs to take advantage of real-world data
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3. Digital health companies wishing to accelerate product development using existing white-label software or hosted software-as-a-service (SaaS) options
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![](../assets/business/value-flow-chain.svg)
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![](../assets/incentivization/value-flow-chain.svg)
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### Hosted Software as a Service (SaaS)
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partners/Ageless Partners.md

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We continue to grow strategic partnerships with skilled experts across the world to accelerate the development of reverse aging solutions. Currently, we see value in partnering with researchers and organizations focusing on genomics, nanotechnology, and artificial intelligence — the foundational building blocks to accelerate reverse aging technologies.
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Our involvment with CuraDAO is to accelerate the age reversal movement. We aim to create a large-scale DAO that is necessary to bring 1000+ partners together in the pursuit of age reversal and minimizing the time to curing aging.
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Our involvement with CuraDAO is to accelerate the age reversal movement. We aim to create a large-scale DAO that is necessary to bring 1000+ partners together in the pursuit of age reversal and minimizing the time to curing aging.
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![](https://i0.wp.com/agelesspartners.com/wp-content/uploads/2021/09/jason-headshot.jpg?fit=250%2C250&ssl=1)
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