A new wave of portable biosensors allows frequent measurement of health-related physiology.
We investigated the use of these devices to monitor human physiological changes during …

Stanford Medicine is building a new data platform for our academic research community to do
better clinical data science. Hospitals have a large amount of patient data and researchers …

The large amount of biomedical data derived from wearable sensors, electronic health
records, and molecular profiling (eg, genomics data) is rapidly transforming our healthcare …

Objective To describe the infrastructure, tools, and services developed at Stanford Medicine
to maintain its data science ecosystem and research patient data repository for clinical and …

We investigate clogging in depth filtration, in which a dirty fluid is “cleaned” by the trapping
of dirt particles within the pore space during flow through a porous medium. This leads to a …

We study the time until a filter becomes clogged due to the trapping of suspended particles
as they pass through a porous medium. This trapping progressively impedes and eventually …

Figure 1 Security stack. High-level features—infrastructure security, data access controls
and security management (dark blue boxes)—that cloud security must meet for genomics …

Background Benchmarking the performance of complex analytical pipelines is an essential
part of developing Lab Developed Tests (LDT). Reference samples and benchmark calls …

High throughput sequencing has facilitated a precipitous drop in the cost of genomic
sequencing, prompting predictions of a revolution in medicine via genetic personalization of …

With the increase in Artificial Intelligence driven approaches, researchers are requesting
unprecedented volumes of medical imaging data which far exceed the capacity of traditional on-…