21st Century Science for a 21st Century Life Span
Just 100 years ago, the average life span in the US was around 54. Thanks to important achievements in science and health care, today it’s closer to 78. We believe the combination of our technology, analytics, and diagnostic insight has the potential to radically improve and lengthen lives even further—to 100 and beyond.
Everyone ages, but how you age depends on your unique combination of inherited traits and how you live your life.
Our DNA determines so much about each of us, but other factors can also influence our health. Human Longevity is focused on compiling and analyzing more genotypic and phenotypic data because the combination of both enables us —to generate unprecedented insights and accelerate our understanding into what makes us who we are and what we can change for a healthier longer life.
The genotype, or our genetic makeup, provides the code to our life. At Human Longevity, we don’t just seek to understand the expressed genes within that code; we sequence every letter in the entire genome to understand the regulatory control regions, gene modifiers, and more. This helps us to get to the underlying causes behind conditions like cancer and heart disease.
The phenotype is all observable characteristics of a person. It is every physical trait that makes you. Without an understanding of these traits, we would only see half the story. That’s why Human Longevity takes a comprehensive approach to data collection and correlation—to provide as much actionable health intelligence as possible.
Life is complex. It takes seamless integration of sequencing technology and expert analysis to examine every inch of it with a high degree of accuracy. Large pharmaceutical companies are partnering with Human Longevity for exactly that reason—high quality, complete coverage of the entire genome.
Life is abundant. There’s no end to the information in all of us, and Human Longevity is collecting and analyzing as much as possible. With tens of thousands of genomes and the related phenotypic data in our database, we are able to make more correlations and glean more about health and disease.
Life is rich. Our bodies contain meaningful data, and machine learning is enabling Human Longevity to churn through that information at an unprecedented rate. The discoveries we are making in our database are empowering early detection, tailored treatments, and, ultimately, better health outcomes at a lower cost.
Knowledge is power. Especially when it comes to your health.
Our data has the power to change and even save lives. In a recent study of over 1,000 of our Human Longevity patients who were largely asymptomatic, 40% required some form of medical intervention to preempt or treat disease, while 14% required urgent attention. For those without the identification of immediate risks, we can help you make changes to aid in the preemption of disease and creation of your healthiest, most prolific lifestyle.
Notes: 1. Significant findings that are actionable include findings requiring immediate or near-term follow-up and intervention; 2. Long-term clinical findings include discoveries requiring medical attention or monitoring but not immediately life threatening; 3. Clients screened for the first time.
The best way to beat the odds is to defy them.
Currently, most diseases are not detected until symptoms arise, which can often be too late. The in-depth data we are able to obtain about your body and health enables detection of potential risks years before onset, giving you a chance to proactively avoid the disease entirely. Additionally, early, pre-symptomatic detection of health issues can dramatically decrease the severity of treatment and associated costs.
Risk of preventable, age-related disease in adults age 50-74
39% Male Risk of Death*
24% Female Risk of Death*
25% of US adults who make it to the age of 50 won’t live to age 75. Age 50-74, Adapted from the Institute of Health Metrics and Evaluation, University of Washington.
Accelerate Time to Impact. Experience Modern Healthcare.
We are committed to accelerating the pace of change in healthcare. By continually adding to and analyzing human health data, we are transforming treatment from a reactive practice to one that is proactive, preventative, and personalized.