Systematic and intelligent solutions for large-scale biomedical applications
We are seeking to improve scalability, interoperability, and security in digital health by addressing optimized approaches for acquisition, storage, distribution, and analytics.
WHAT WE DO
Bridge the medicine and engineering gap.
We bring in computer scientists’ expertise and need to validate their work to help biologists and biomaticians scale research. Over the years, the lowering costs of sequencing leads to an overwhelming amount of biomedical data generated. While this helps biologists and biomaticians unclock deeper insights, they often find themselves lack the time or knowledge to acquire, store, and analyze data in a scalable way.
HOW WE DO IT
Make research scalable, interoperable, and secure.
WHAT WE DO
Leap forward deep medicine.
WE WORK WITH
It’s more important to know what sort of person has a disease than to know what sort of disease a person has.
Hippocrates
A Greek Physician, almost 2,500 years ago
UNDERSTAND OUR WORK
FEATURED POSTS
Large-scale, real-time monitoring & alerting system detects 80% of COVID-19 illnesses at or prior to symptom onset.
November 30, 2021 | 2 min read
We are thrilled to announce the recent publication for Phase 2 of our COVID-19 wearable study in Nature Medicine. With the recent emergence of Omicron…
Published in Nature Medicine.
November 30, 2021 | 1 min read
Very excited to announce that our real-time alerting system for infectious diseases, specifically COVID-19, and other stress events paper is now published in Nature Medicine…
Early Detection of COVID-19 at Scale Using Wearable Devices
December 16, 2020 | 5 min read
A hallmark of COVID-19 is transmission in the absence of symptoms: a long presymptomatic period, as well as individuals who are asymptomatic…
IN THE NEWS
Amazon News
DDRCC at Stanford University Uses AWS for Research in Precision Medicine Leveraging Multimodal Data
September 13, 2022
poynter
The winter 2021 rules for fighting COVID-19
June 23, 2022