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Our mission is to fix the broken healthcare system.
We are accelerating the research and development of new Precision Health technologies.

Precision health is at the intersection of Biology and Data Science.

Research at a Glance

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Our Approach

Our Stanford faculty director, Dr. Michael Snyder, pioneered the multi-omic, longitudinal baseline profiling approach to healthcare. Much of our research now focuses on the exploratory analysis of Big Data to create breakthroughs in our understanding of human biology and medicine.

Multi-Omic Profiling

Omics is a new term referring to distinct fields of human biology. Each “ome” represents a different area of interest. Our lab has invented many “Omics” profiling technologies. We currently profile 16 different “Omes.”

Longitudinal Baseline Profiling

By profiling healthy people over time, we can identify early signatures of disease, keeping people healthy instead of treating them when they get sick.

Enroll today in one of our numerous active research studies

Your participation supports groundbreaking research! We are always looking for people like you to participate in one or more of our numerous research studies. Your engagement directly leads to progress in science which can eventually improve healthcare and save lives.

COVID-19 Wearable Study

Many COVID-19 cases are spread asymptomatically. With limited test kits and slow results turnaround, we are using the MyPHD app to find out if information from wearable devices, like Fitbit and Apple Watch, can be used to track infectious diseases like COVID-19, including Long COVID. This study:
- builds on previous work detecting the infectious disease before symptoms
- is validating a free, open-source algorithm as a gift to the world
- ensures your data security and privacy

Crohn's Exposome Study

This study investigates the role of human exposome in crohn’s disease using wearable sensors and multiomics profiling.

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Exercise Study

A 12-week exercise research study investigating the molecular changes that occur in your body after two types of exercise: high intensity interval training (HIIT) or endurance training.

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Exposures Study

Seeking to identify and evaluate the environmental and workplace exposures that may impact human health, using comprehensive exposome analysis methods and metabolomics data.

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Fiber, Microbiome and Health

Researching the longitudinal systemic effects of dietary fiber supplementation.

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Glucose Control via Lifestyle Management Study

Researching the effect of meal timing and composition on glucose control, body temperature, and sleep physiology.

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Genetic Variation Study

Researching the role of genetic variation between human sperm and somatic (body) cells.

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Crash Course

The Crash Course study aims to understand and predict relapses, flares, and crashes in chronic disease.

We are looking for participants who are:

• 18 years old or older
• experience relapse episodes persisting at least 24 hours

Reach out to learn more and learn if you are eligible.

Projects Overview

We collaborate with labs, hospitals, and companies to take a holistic look at a person’s health, including every aspect of one’s biology: genome, epigenome, transcriptome, proteome, metabolome, lipidome, microbiome, biosensors, imaging, psychome, social graph, exposome.

Integrated Personalized ‘Omics Profiling (IPOP)

Besides standard clinical tests, we are measuring nearly all of the molecules in the blood, urine, stool, saliva, as well as heart rate, sleep, and airborne exposures.

Personalized Health Dashboard

This app allows users to store and analyze petabytes of data from genomics, to metabolomics, to wearables sensors, imaging, and Electronic Medical Records.

The Longevity and Thriving Initiative

Our goal is to develop targeted interventions to slow biological age, restore youthful biological signatures, and prolong health and thriving.

Personalized Nutrition Initiative

We advocate for continuous monitoring of key chemical changes over a person’s lifetime to predict high-risk diseases, and take a preventative measure to intervene with nutritional adjustments.

Lifestyle Initiative

We are measuring biochemical changes across diverse systems all at once to understand interindividual differences and personal health trajectories during lifestyle activities, including exercise.

Children’s Metabolic Health Center

We are conducting IPOP on every baby born at the Stanford Hospital to detect anomalies and risk factors that may occur over the first few years of life.

Bioinformatics as a Service (BaaS)

Genetics Bioinformatics Service Center (GBSC) is set up to facilitate massive scale genomics at Stanford and supports omics, microbiome, sensor, and phenotypic data types.

Mental Health Research Initiative

We are working on novel approaches to mental health by creating objective, biological diagnostics for mental health conditions as well as validating new hyper-effective, scalable, and affordable treatments for stress, anxiety, and depression.

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Women’s Health Initiative

With support from the Bill & Melinda Gates Foundation, we are profiling pregnant mothers to provide early, nutrition-based interventions that improve the health of babies. We hope to extend this work to women’s health more broadly.


The Latest

Researchers in protective gears working in a lab.

Nature Biomedical Engineering 2023

Multi-omics microsampling for the profiling of lifestyle-associated changes in health

Xiaotao Shen, Ryan Kellogg, ... & Snyder, M. P.
In this study, we developed a new approach called multi-omics microsampling to measure thousands of molecules from one drop of blood.

With this technique, the blood can be collected at home and mailed to a lab. As Dr. Michael Snyder said, “We can follow your metabolic markers, your immune markers, even some neurological markers that can give insights into your mental health.”
Researchers in protective gears working in a lab.

Neuron 2022

Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis

Sai Zhang, Johnathan Cooper-Knock, ... & Snyder, M. P.
We identified 690 ALS-associated genes, including hundreds of new genes.

In this study, we developed a machine learning approach called RefMap, which integrates functional genomics with genome-wide association data for gene discovery. We looked for mutations only in genes that support motor neuron function in ALS patients.
Researchers in protective gears working in a lab.

Journal of Psychiatric Research, 2022

Effects of an immersive psychosocial training program on depression and well-being: A randomized clinical trial

Ariel B. Ganz, Benjamin Rolnik, ... & Snyder, M. P.
100% of initially depressed participants in the training program were in remission at week six.

We studied the effects of a 6-day immersive psychosocial training program, followed by 10-min daily psychosocial exercises for 30 days on depression and well-being.
Researchers in protective gears working in a lab.

Cell Host & Microbe, 2022

Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans

Samuel M. Lancaster,
Brittany Lee-McMullen, ... & Snyder, M. P.
In this study, we discovered that each participant had a unique response to fiber supplementation.

We investigated the health benefits of two popular purified fibers, arabinoxylan and long-chain inulin, and a mixture of five fibers on 18 healthy participants.
Researchers in protective gears working in a lab.

Nature 2022

Recurrent repeat expansions in human cancer genomes

Graham S. Erwin, Gamze Gürsoy, ... & Snyder, M. P.
We discovered a possible new way to kill cancer cells and identified 160 recurrent repeat expansions (rREs) in seven types of cancer.

We used a new algorithm to analyze more than 2,000 human cancer genomes to first identify long, repetitive DNA sequences, which may have a role in gene regulation in seven types of cancer. We then created a molecule that targeted them in kidney cancer cells.
Researchers in protective gears working in a lab.

Cell 2020

Molecular Choreography of Acute Exercise

Contrepois, K., Wu, S., ... & Snyder, M. P.
Featured as the cover of Cell (the #1 Molecular Biology Journal), this is the first study to demonstrate the dynamic. system-wide, molecular response to exercise.

Our findings revealed the molecular choreography of biological processes during exercise. Most of these processes were weakened in insulin resistant participants. We also discovered biological pathways involved in exercise capacity and developed prediction models revealing potential resting blood-based biomarkers of fitness. In other words, we demonstrated you can reduce the VO2 Max treadmill test into a simple blood test
Researchers in protective gears working in a lab.

Nature Genetics 2020

Systematic identification of silencers in human cells

Pang, B., & Snyder, M. P.
In this study, we discovered how to turn genes off.

Silencers in human genome are regions that repress gene expression. To date, most studies have focused on regions that enhance gene expression, but silencers have not been systematically studied.

We have developed a system that identifies silencers in a genome-wide fashion. We found that tissue-specific silencing is widespread throughout the human genome and probably contributes substantially to the regulation of gene expression and human biology.

Cell 2020

Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women

Liang Liang, Marie-Louise Hee Rasmussen, Brian Piening, ..., Hanyah Zackriah, Michael Snyder, Mads Melbye

Metabolism during pregnancy is a dynamic and precisely programmed process, the failure of which can bring devastating consequences to the mother and fetus. To define a high-resolution temporal profile of metabo- lites during healthy pregnancy, we analyzed the untargeted metabolome of 784 weekly blood samples from 30 pregnant women.

The study represents a weekly characterization of the human pregnancy metabolome, providing a high-resolution landscape for understanding pregnancy with potential clinical utilities.

120 Altmetric

Nature 2019

A longitudinal big data approach for precision health

Rose, S., Contrepois, K., Moneghetti, K. J., Zhou, ... & Snyder, M. P.

“What this paper really shows is that if doctors and scientists do more advanced profiling reasonably frequently, they’ll discover clinically actionable information for patient health at a broader scale than has ever been shown before,” Dr. Michael Snyder said.

Utilizing a multi-Omics, longitudinal baseline profiling approach on ~100 healthy individuals, our lab uncovered more than 67 clinically actionable health discoveries that ranged from high blood pressure, arrhythmias, cardiomyopathy, and early-stage cancer detection, among others.

48 Citations | 423 Altmetric

Science 2019

The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight

Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., ... & Turek, F. W.

This NASA-led study compared the biology of twin astronauts Scott and Mark Kelly to determine the range of immune and molecular stresses outer-space imposes on the human body. Our lab led an effort to characterize the twins at the molecular level, focusing on protein production, immune response, metabolism and the efficacy of vaccines in space.

79 Citations | 2315 Altmetric

Cell 2018

Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring

Jiang, C., Wang, X., Li, X., Inlora, J., Wang, T., Liu, Q., Snyder, M.

In this study, we invent a new technology for monitoring personal airborne exposures — the “Exposome”, explained in this cool video.

Environmental exposures are clearly related to human health but their precise relationship is poorly understood. In this study, we developed a sensitive method to monitor biological and chemical exposures — the “Exposome.” We found that personal Exposomes are highly unique and constructed from a dynamic network of interacting ecosystems including other humans, flora, pets, and bugs. These networks can have significant consequences on human health.

34 Citations | 379 Altmetric

PLOS Biology 2017

Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information

Li, X., Dunn, J., Salins, D., Zhou, G., Zhou, W., ... & Snyder, M. P.

In this article, we published the first algorithm (Change of Heart) that could detect infectious disease days before symptoms emerge.

By recording over 250,000 daily measurements for up to 43 individuals, we found that commercially available wearable sensors (monitoring heart rate, activity, skin temperature, and other variables) can reveal meaningful health insights, including the pre-symptomatic onset of infection, inflammation, and even insulin resistance.

107 Citations | 962 Altmetric

Nature 2020

Personal aging markers and ageotypes revealed by deep longitudinal profiling

Dunham, I., Kundaje, A., Aldred, S. F., Collins, P. J., ... & Birney, E.

What happens to an individual as they age? This is the first scientific publication to demonstrate personalized aging biomarkers.

Our team profiled a group of 43 healthy men and women between the ages of 34 and 68, using blood, stool, and other biological samples. The study tracked levels of certain microbes and biological molecules over two years. We determined that people generally age along certain biological pathways in the body: metabolic, immune, hepatic (liver), and nephrotic (kidney).

8 Citations | 694 Altmetric

PLOS Biology 2018

Glucotypes reveal new patterns of glucose dysregulation

Hall, H., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R., McLaughlin, T., Snyder, M.

Often people who are prediabetic have no idea they’re prediabetic.

In fact, this is the case about 90 percent of the time, but about 70% of people who are prediabetic will eventually develop the disease. We demonstrated continuous glucose monitoring will be important in providing the right information earlier on so that people can make changes to their diet should they need to.

28 Citations | 622 Altmetric

Nature 2012

An integrated encyclopedia of DNA elements in the human genome

Dunham, I., Kundaje, A., Aldred, S. F., Collins, P. J., ... & Birney, E.

The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure, and histone modification.

5467 Citations | 754 Altmetric


The healthcare innovation lab funds highly translational work at Stanford in a non-linear fashion—allowing for high risk, high impact projects and fast iteration to bring them to clinic and market. Your gift will fund the most promising projects and allow for the creativity and flexibility that is needed to drive paradigm shifting translational research and development.

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