A digital highway for data fluidity and data equity in precision medicine

Area of Science:

• Biomedical Informatics
• Data Science
• Health Technology

Background:

• Technological advancements are increasing the volume, velocity, variety, and veracity of biomedical big data.
• This data expansion fuels research, discovery, and personalized treatment strategies for individual patients (n-of-one).

Purpose of the Study:

• To propose the creation of a universally accessible digital highway system for biomedical big data.
• To enable equitable data fluidity and accelerate the development of advanced analytics and precision medicine.

Main Methods:

• The perspective discusses the application of advanced analytical methods, including artificial intelligence (AI) and machine learning (ML).
• It emphasizes the need for an interoperable and integrated digital infrastructure.

Main Results:

• The proposed digital highway system can facilitate efficient derivation of insights from complex biomedical datasets.
• This infrastructure is crucial for advancing understanding of health and disease, particularly in developing novel anticancer therapies.

Conclusions:

• A foundational digital infrastructure is essential for harnessing the full potential of biomedical big data.
• This will enhance health outcomes, drive innovation in precision medicine, and maintain U.S. leadership in advanced analytics and technology.