Stanford Covid-19 Wearables Study

Stanford Covid-19 Wearables Study We are trying to find out if information from wearable devices can help detect infectious disease or COVID-19 before symptoms emerge.

From Genes to Cells to Diseases
We are presently in an omics revolution in which genomes and other omes can be readily characterized. Our laboratory develops and uses a variety of approaches to analyze genomes, other omes, and regulatory networks. We apply these approaches to understand human variation and health.

Don't miss tomorrow's groundbreaking issue of Stanford Healthcare Innovation Lab - featuring historical discoveries & ne...
05/21/2024

Don't miss tomorrow's groundbreaking issue of Stanford Healthcare Innovation Lab - featuring historical discoveries & newly opened research studies. Subscribe today before tomorrow's launch: https://lnkd.in/dWCJ9cin

https://www.youtube.com/watch?v=uTTGQQ18beEDiscover how the  at   leverages AWS for personal omics profiling, wearables ...
05/20/2024

https://www.youtube.com/watch?v=uTTGQQ18beE
Discover how the at leverages AWS for personal omics profiling, wearables data, and longitudinal patient monitoring. Learn how ' pioneering research transforms early disease detection.

Michael Snyder, PhD on how the Snyder Lab at Stanford University leverages AWS Cloud and AI for integrated personal omics profiling, wearables data, and long...

ENROLLMENT OPEN: Our Exposures Research Study measures personal home and work exposomes: https://lnkd.in/gAf3CK3TWe seek...
05/20/2024

ENROLLMENT OPEN: Our Exposures Research Study measures personal home and work exposomes: https://lnkd.in/gAf3CK3T

We seek to identify and evaluate the environmental and workplace exposures using comprehensive exposome analysis methods and the combination of metabolomics data to identify occupational exposures that may impact human health.

To be eligible for the study, you must:
Live in the US territory.
Read and understand English.

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Stanford University, Stanford University School of Medicine, Snyderlab Stanford, Stanford Genetics

cell.com/issue/S1931-3128(23)X0005-5 !Congrats Snyder Lab for making the cover of Cell Host & Microbe:  Highlighting mic...
04/13/2024

cell.com/issue/S1931-3128(23)X0005-5
!Congrats Snyder Lab for making the cover of Cell Host & Microbe: Highlighting microbial dynamics for 4 body sites, 86 participants, 6 years: https://www.cell.com/cell-host-microbe/fulltext/S1931-3128(24)00056-8
Data now available from the human microbiome project portal: https://portal.hmpdacc.org

This study highlights microbial dynamics for 4 body sites from 86 participants over 6 years: https://lnkd.in/gGPwBzBX

Our research has unearthed several fascinating findings by comparing the longitudinal stability of the microbiome with host proteomics, lipidomics, metabolomics, and cytokine profiles. We've also ventured into the use of mediation analysis on longitudinal multi-omics data, yielding significant insights. Moreover, we identified several key dysbiosis signatures associated with diseases, such as Insulin Resistance.

Major accomplishment for extraordinary authors Genetics, Stanford Snyder Lab, Stanford University School of Medicine, Stanford University, Cell Press

















We are excited to announce our Metabolic Health Center Maternal and Child Health Symposium - Friday March 22nd, 2024: Fr...
03/09/2024

We are excited to announce our Metabolic Health Center Maternal and Child Health Symposium - Friday March 22nd, 2024: Free Registration and Event Details: https://med.stanford.edu/metabolichealthcenter/news-events/symposium.html

Highlights include:

- Important updates in the field from Michael Snyder P. Snyder, PhD, Stanford University

- Liping Zhao, PhD from Rutgers University will share:
Guild-level understanding of the causative role of gut microbiota in human metabolic health

- Maya Kasowski, MD, PhD from Stanford University will share:
The Neonatal Metabolome: Assessing Health Status at Birth

- Gary Patti, PhD from Washington University in St. Louis will share:
Molecular Profiling at the Population Scale to Understand Metabolic Physiology

- Namasivayam Ambalavanan, MBBS, MD from University of Alabama at Birmingham will share:
Biomarkers of pulmonary outcome in extremely preterm infants

- Ivana Maric, PhD, from Stanford University will share:
Machine Learning Reveals Metabolic and Lipidomic Profiles for Maternal and Neonatal Adverse Outcomes.

Grateful for tremendous sponsorship from: , , , , , biocrates life sciences ag , , and Stanford Federal Credit Union

University of Alabama at Birmingham, Stanford University School of Medicine, Washington University in St. Louis, Stanford University, Stanford Snyder Lab, Stanford Healthcare Innovation Lab, Rutgers University Stanford University Department of Pediatrics, Association of Women's Health, Obstetric and Neonatal Nurses (AWHONN), Stanford University School of Engineering Stanford Biodesign Digital Health Stanford Medicine Department of Radiology, World Congress on Fetal and Maternal Medicine, Laborie OBGYN & Neonatal Health, International Conference on Pediatrics & Neonatology, Upcoming Neonatology Conferences | Worldwide Events | Congress | Workshops | Meetings AAP AHA NRP Neonatal Resuscitation Program Colorado Springs, Colorado, Stanford Healthcare Innovation The Snyder Lab

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Stanford University School Of Medicine
Stanford, CA
94305

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