UNCOVERING THE 95% DARK MATTER
▸ We believe that the cure to immunologic disorders is hidden in a network of microbial Genetic Blueprints™ (GBs).
▸ Characterization of these GBs can lead to breakthroughs in medicine.
We are using proprietary methods in genomic sequencing, artificial intelligence, and synthetic biology to discover biomarkers and novel therapeutics for the most challenging immunologic disorders.
Our Process
Metagenomic Data
Generating robust multi-omic data from the human gut microbiome
Artificial Intelligence
Prediciting viable targets and biomarkers
High Throughput
Experimental validation via high throughput phenotypic screening assays
Highlighted Press Release
Feb 2020 | VastBiome selected to present at Microbiome Movement Drug Development in London
Nov 2019 | VastBiome featured on MassBio’s Insider Magazine
Oct 2019 | Medstartr publishes on VastBiome
Sep 2019 | VastBiome selected to present at Stanford Medicine’s Frontier of AI-Assisted Medicine
July 2019 | UCSF Rosenman Institute Interviews VastBiome on Cancer Immunology & the Microbiome
May 2019 | VastBiome interviewed by Antimicrobial Regeneration Consortium
Mar 2019 | VastBiome wins grant at SXSW
Mar 2019 | VastBiome’s poster accepted to NVIDIA’s GTC Conference
Oct 2018 | GenomeWeb publishes on VastBiome
Oct 2018 | Illumina announces VastBiome into Illumina Accelerators Eighth Investment Cycle
Sep 2018 | Plug and Play accepts VastBiome to its Winter 2018 Health Batch
June 2018 | Texas Medical Center’s Biodesign program interviews VastBiome
May 2018 | VastBiome wins grant at Texas A&M New Venture competition
Apr 2018 | VastBiome wins top prize at Cleveland Clinic’s 2nd Annual Medical Capital Innovation Competition
Teaming up with world renown experts in clinical, technological, and developmental efforts across industries
Supported By
Partners
Get Involved
We are actively seeking to collaborate with industry partners and clinical researchers.
Contact us to learn more.
LOCATION
10 Rollins Rd. Millbrae, CA
PHONE
(650) 479-5539
info@vastbiome.com