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The publications shown on this website are not inclusive all of the publications generated by the CTSA Program and its funded institutions. Publications shown below are a curated list of more recent publications and/or publications that have been submitted to CLIC as a product of NCATS related information, CTSA Program group initiative (i.e. Steering Committee, EC or Working Group), or CLIC funded initiative (Un-Meeting or Synergy Paper). Only publications that have NCATS and/or a CTSA Program funded institution acknowledged will be considered for display on this website. Should you wish to share an applicable publication please Contact Us.
f the clinical and translational research enterprise is to help resolve health crises and ensure that all people in the United States have the opportunity to live healthy lives, it must shift paradigms and begin to center equity, diversity, and inclusion in its work.
Introduction:
A national survey characterized training and career development for translational researchers through Clinical and Translational Science Award (CTSA) T32/TL1 programs. This report summarizes program goals, trainee characteristics, and mentorship practices.
Methods:
Artificial intelligence (AI) is transforming many domains, including finance, agriculture, defense, and biomedicine. In this paper, we focus on the role of AI in clinical and translational research (CTR), including preclinical research (T1), clinical research (T2), clinical implementation (T3), and public (or population) health (T4).
Infection in hard tissue regeneration is a clinically-relevant challenge. Development of scaffolds with dual function for promoting bone/dental tissue growth and preventing bacterial infections is a critical need in the field.
The National Center for Advancing Translational Sciences (NCATS) has defined translation as the process of turning observations into interventions that are adopted, sustained, and improve health. Translation must attend to research and community systems and context at multiple levels, and to key stakeholders.
Implementation science offers a compelling value proposition to translational science. As such, many translational science stakeholders are seeking to recruit, teach, and train an implementation science workforce. The type of workforce that will make implementation happen consists of both implementation researchers and practitioners, yet little guidance exists on how to train such a workforce.
To develop and initially validate a global cognitive performance score (CPS) for the Pediatric Automated Neuropsychological Assessment Metrics (PedANAM) to serve as a screening tool of cognition in childhood lupus.
Background and Aims In patients with chronic liver diseases (CLD) with or without cirrhosis, existing data on the risk of adverse outcomes with SARS-CoV-2 infection have been mixed or have limited generalizability.