Translational science and related disciplines.

Area of Science:

• Health Research
• Translational Science
• Medical Innovation

Background:

• Translational research aims to bridge the gap between laboratory discoveries and practical healthcare applications.
• It focuses on moving research findings from the lab to clinical practice and community health benefits.

Purpose of the Study:

• To define translational science as a distinct field focused on systematic knowledge integration.
• To explore its relationship with various related specialties and disciplines.
• To introduce a series of thematic reviews on these interdisciplinary connections.

Main Methods:

• The article provides definitions and discusses contingencies, touchpoints, and overlaps.
• It highlights the integration of knowledge from basic, clinical, and population science.
• It identifies borrowed capabilities from fields like operations management, implementation science, and data science.

Main Results:

• Translational science systematically integrates knowledge from basic, clinical, and population science.
• It leverages frameworks and capabilities from diverse fields such as implementation science, quality improvement, and data science.
• This integration creates a robust machinery for health systems and research organizations.

Conclusions:

• Translational science is a distinct, systematic field crucial for improving human health and longevity.
• Borrowing transdisciplinary capabilities enhances its effectiveness in health systems and innovation hubs.
• Understanding these overlaps is key to advancing translational science.