A list of projects collecting multi-dimensional health data to be mined for signatures of health and disease.

Pioneer 100 / Arivale

npioneer100 = 108

narivale ≈ 5,000

My former place of employment, Arivale (now deceased) was a start-up based on a pilot study conducted at the Institute for Systems Biology called the Pioneer 100 Project, which was published as A wellness study of 108 individuals using personal, dense, dynamic data clouds.

pioneer-100-figure-1

The Snyder Lab

n = 109

The long list of ventures associated with Michael Snyder include: the Stanford Center for Genomics and Personalized Medicine, Qbio, [January.ai][https://january.ai/].

In May of 2019, the Snyder Lab published A longitudinal big data approach for precision health.

multi-dimensional health data

Earlier papers with similar themes go back quite a ways, including: Personal phenotypes to go with personal genomes (2009), Personal omics profiling reveals dynamic molecular and medical phenotypes (2012)…

iPOP figure 1

…Promise of personalized omics to precision medicine (2013)

personalized omics fig 2

…and Integrative omics for health and disease (2018).

Human Longevity, Inc.

n = 1,253

“Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments.” Unsupervised integration of multimodal dataset identifies novel signatures of health and disease

Human Longevity Inc. multi-omics paper

Verily

n = 10,000 (??)

Verily’s Project Baseline is well funded, but is perhaps the most blatant about asking participants to give up their data with little in return.

“Alphabet’s Google division is, fundamentally, in the business of selling data. That is a useful thing to keep in mind when Alphabet’s Verily comes calling for your medical data. But Google is also inarguably useful; this is why, despite knowing that my every move is being tracked by the company, I still make use of Google search, Gmail, and Google Docs, among its other myriad services. Verily’s Project Baseline is, in some sense, the health equivalent of those kinds of services — it has the potential to greatly expand our knowledge about what human health looks like. Not incidentally, the project will be of service to Verily as well.” -The Verge, April, 2017

Starting in 2017 the multi-year study is expected to cost more than $100 million. Verily’s deep molecular profiling includes: “clinical, molecular, imaging, sensor, self-reported, behavioral, environmental, and other health-related measurements.”

verily deep molecular profiling

UK Biobank

n = 500,000

The UK Biobank has genotyped a half-million people along with “biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records.”

multi-dimensional health data

Etc.

Other studies along the same lines include: The future of individualized health maintenance, Integration of gut microbiome, host biomarkers, and urine metabolome data reveals networks of interactions associated with distinct clinical phenotypes (aka the China-Denmark study after the affiliations of the authors), and the NIH’s All of Us