We are a non-profit research organization developing innovative science to bring a focus to wellness and aging.
Our data-driven approach harnesses new technologies to understand the human system.
We envision a healthcare future that predicts your health, prevents disease, is personalized to you—where you participate in your wellness.
Three billion DNA subunits make up the human genome, the unique blueprint for each individual’s life. But your genome alone does not provide the complete picture of your health.
The phenome is the collection of dynamic and observable characteristics of an organism, ranging from the amount of various markers in blood (like cholesterol) to physiological signals (such as heart rate). Your phenome is influenced by your genes, your behavior, and your environment.
Genomic and deep phenomic data for each individual allows for true personalization. Collecting these data over time provides a baseline and the ability to detect deviations away from this baseline.
Integrating multiple data types provides synergistic value that exceeds the additive value of each approach independently. For example, calculating risk via the genome yields the probability of developing a disease but no insights into the development of the disease.
Placing data in the context of the larger systems will improve decision making. A single outlier in a blood test may not influence any clinical decisions, but connecting it to other biomarkers in related systems might result in a very different conclusion.
Complex ideas must be distilled into concise, actionable recommendations to promote adoption. New and developing computational technologies will help derive knowledge from billions of data points, but this knowledge must be communicated to clinicians effectively.
Health data need to be representative of the entire population to prevent bias. This is essential to ensure that the benefits of personalization can be made available with high efficacy to all people.
Integrating multiple data types provides synergistic value that exceeds the additive value of each approach independently. For example, calculating risk via the genome yields the probability of developing a disease but no insights into the development of the disease.
Placing data in the context of the larger systems will improve decision making. A single outlier in a blood test may not influence any clinical decisions, but connecting it to other biomarkers in related systems might result in a very different conclusion.
Complex ideas must be distilled into concise, actionable recommendations to promote adoption. New and developing computational technologies will help derive knowledge from billions of data points, but this knowledge must be communicated to clinicians effectively.
Health data need to be representative of the entire population to prevent bias. This is essential to ensure that the benefits of personalization can be made available with high efficacy to all people.
Collecting longitudinal phenomics for a million people
Current healthcare spending in the United States now exceeds $4 trillion per year and is on an unsustainable trajectory. An estimated 80% of these healthcare dollars are spent treating potentially preventable disease. Our goal is to shift resources toward disease prevention in an effort to revolutionize the healthcare system, moving it from reactive and disease-focused to proactive and wellness-focused industry. With an ecosystem of dedicated partners, we are building the Human Phenome Initiative—a personalized population health program that will create longitudinal phenomic data on one million people over 10 years. This initiative will power innovation in health technologies and biomedical research through the development of predictive models for each individual to drive the implementation of personalized healthcare.
Developing the computational infrastructure to power scaled phenomics
To realize the Human Phenome Initiative, we are building a compendium of data-driven biomedical knowledge. This knowledge engine is support by the Phenome Core, our cloud-based data infrastructure that is specially designed to meet the unique requirements of storing and analyzing biological data. This biomedical resource will drive innovation, providing insights and tools to researchers, patients, and physicians alike. Employing cutting-edge machine learning (ML) and artificial intelligence (AI) tools, we strive to derive knowledge from the data, which is translated into actionable recommendations and communicated to clinicians power the pursuit of specific health outcomes.
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An Ecosystem for Change
The Human Phenome Initiative is built on the principles of personalized population health described above. We are leading a partner ecosystem of like-minded organizations to realize this vision. Our data-driven, AI-informed, and disease-agnostic engine will serve diverse populations and generate health information to allow all individuals to participate in their effective healthcare—regardless of economic stature or racial origins.
Age is the biggest risk factor for almost every chronic disease. Longitudinal phenomic data will teach us about aging—and how to prevent age-related diseases.
The Human Phenome Initiative will yield a massive database of genomes and longitudinal phenomes. This biomedical resource will be open to researchers around the world, fueling discovery and innovation.
New discoveries and knowledge will drive innovation, leading to new standards. The integration of phenomic technologies into clinical practice can transform healthcare, bringing a focus on wellness and prevention.
Innovation and technology will drive the development of new therapies and drugs. These approaches will attack chronic disease, potentially eliminating them altogether.
