Elements

Elements

The New Jersey Alliance for Clinical and Translational Science (NJ ACTS) is committed to advancing clinical and translational science to develop new therapies and treatments and improve health and health care in New Jersey. NJ ACTS specifically promotes innovations that speed the translation of research into better health outcomes for New Jerseyans by fostering broad collaborative investigation that accelerates discovery and drives dialogue across the bench, bedside, and community continuum. The NJ ACTS structure is made up of Element areas that provide the expertise and structure needed to accomplish these goals.

Regulatory

Regulatory and quality assurance support in all aspects of clinical research

Biomarkers

Assisting investigators with measurable indicators of biological states

Special Populations

Integrating Special Pops into research study design, research teams, and as participants

Workforce Development

Comprehensive and flexible training for a diverse workforce

Informatics

Integrates and enhances  data from disparate clinical & research sources

BERD

Data analysis and management, epidemiology, and biostatistics services for investigators

Community

Engagement with the community to ensure that our efforts respond to their priorities

Team Science

Addressing scientific challenges by leveraging expertise of varied professional disciplines

KL2/K12

Supporting mentored research career development for clinical investigators

TL1/T32

Supports students seeking an introduction to clinical and translational research

Pilots

Fosters team and interdisciplinary research and inspires new methodologies

GREAT

Genetically informed Research, Education, And Treatment supports research with consultation

Element E

Advance clinical translatable science by addressing roadblocks

Archived Core from Previous CTSA Grant

The NJ ACTS structure for the previous CTSA grant was made up of Core areas. The Machine Learning Core is not part of the new CTSA grant.

Machine Learning

Using machine learning to investigate patterns of mental illness and chronic disease