Challenge: Many UCSF researchers are interested in questions about human health and the delivery of health care services that could be studied using large administrative datasets, such as those generated by the Centers for Medicare and Medicaid Services (CMS), the California Office of Statewide Health Planning and Development (OSHPD), and agencies that collect vital statistics data (e.g., birth certificates, death certificates).
The Big Tent
CTSI 2016 NIH Renewal Proposal Launchpad
New posts and comments will not be accepted.
The NIH grant awarded to the Clinical and Translational Science Institute (CTSI) must be recompeted in 2016, and the proposal planning process has begun. That includes using UCSF Open Proposals to solicit ideas for high-impact initiatives to include in the next 5-year CTSI grant. CTSI's goal is to involve the broadest community possible — the UCSF community, affiliate organizations, community partners, etc. — to help identify and plan activities that will substantially improve translational research at UCSF, regionally and nationally.
Open Proposals Awarded!: CTSI has selected 2 proposals for planning grants and 3 honorable mentions. The winning proposals are the first 2 proposals listed below, with the notation "Selected for Planning Grants". Thank you for your interest and participation in this "Open Proposal" opportunity.
Drug development is a complex and resource-intensive process, with few academic institutions able to provide its translational researchers with the all the necessary infrastructure and resources to advance promising targets or early-stage molecules to validation.
Academic institutions, civic agencies at all levels, and NGOs of all kinds have joined what’s being called a “data revolution” by making the information they collect and use publicly available. How can this “open data” movement advance and accelerate clinical and translational research to improve health and eliminate health inequities?
We recommend that the UCSF CTSI initiate a grants program to support collaborative, multidisciplinary, translational research (CMTR) at UCSF and, in future years, across the entire UC system.
The failure of large clinical trials for Alzheimer’s disease (AD), frontotemporal dementia (FTD), amyotrophic lateral sclerosis and Parkinson’s disease (PD) are forcing the field to consider more targeted treatments for genetically homogeneous cohorts. Precision medicine approaches to the diagnosis and treatment of patients offer huge opportunities to advance the dementia field. New trials for AD patients with presenilin-1 mutations and FTD patients with progranulin and tau mutations have already been started or are being considered.
Advancements in technology, greater acceptance of remote communication by patients and insurance providers, and a trend toward an increasing demand for providers and cost effective approaches will ensure telemedicine will play a much large role in the future of healthcare delivery than it does currently.
Harnessing the Law for Translational Science: The UC Initiative on Translational Science and the Law (ITSL)
1. Scale and Significance: Law shapes the effectiveness and impact of research translation across the T1-T4 continuum. Effective T1 involves contracts and intellectual property; T2 researchers navigate human subjects regulation; healthcare policy shapes T3 impact; and law itself is a powerful lever for change at T4.
Scale and significance of the problem
New pathogens and developments in diagnostics and therapeutics are transforming healthcare. Comprehensive planning for paradigm-changing advances, when possible, can mobilize the full range of expertise available in a complex institution like UCSF and in our community partners. Systematic planning can identify new research opportunities, reduce institutional costs and improve patient care.
UCSF Digital Health Sciences Virtual Core
An Open mHealth-compatible Rapid Development Platform & Services
Problem Digital and connected health technologies promise to reduce health care costs and improve health outcomes. Many CTSA researchers have digital health ideas they want to pursue and test, but their institutions are not able to fully provide the resources and expertise they need to build initial prototypes and/or to conduct clinical research using digital technologies.