Eureka Institute for Translational Medicine
Through an alliance with the Eureka Institute in Translational Medicine, select CHRI members have an opportunity to participate in focused training on the practical aspects of translating basic findings to clinical treatments, develop creative problem solving strategies and novel skills.
Quantitative Sciences Unit (QSU)
The Department of Pediatrics and the Child Health Research Institute (CHRI) partners with the Quantitative Sciences Unit (QSU) in the Department of Medicine to provide comprehensive biostatistics and data management support. This resource is available to trainees (e.g., residents, fellows, post-docs), instructors and faculty in the Department of Pediatrics; all CHRI members and their mentees; and Clinical Educator (CE) faculty in other Departments submitting CHRI grants.
The QSU is a collaborative group of over 20 data scientists including faculty and Masters- and PhD-level staff. QSU members will collaborate with investigators by lending expertise in study design, database creation, data management and data analysis using an interdisciplinary collaborative approach. Their expertise will be available for consultation, the development of grant proposals, and implementation of funded projects.
Stanford Funcational Genomics Facility SFGF
CHRI, in collaboration with the Stanford Functional Genomics Facility (SFGF), offers an Illumina Hiseq 4000. This instrument is a state-of-the-art high-throughput sequencing apparatus and has the capacity to run two independent 8-lane flow cells simultaneously. Members of the CHRI have priority access on one of these flow cells. Special priority is given for sequencing of clinical research samples requested by CHRI members. SFGF maintains and operates the instrument.
March of Dimes Prematurity Research Center
The March of Dimes and Stanford University created the nation's first transdisciplinary research center dedicated to identifying the causes of premature birth. Over 130 scientists in fields ranging from neonatology and genetics to computer science and artificial intelligence are pursuing a revolutionary model of "team science" to find answers.