Trends in Population-Based Studies: Molecular and Digital Epidemiology (Review)

Area of Science:

• Biomedical Sciences
• Epidemiology
• Bioinformatics

Background:

• High-throughput technologies have expanded molecular, cellular, and organismal research capabilities.
• Biotechnology advances have shifted population-based study paradigms.
• Genomic, post-genomic, and bioinformatics research drive molecular epidemiology.

Purpose of the Study:

• To review the role of omics and digital technologies in population-based studies.
• To highlight the integration of information technology and medicine.
• To discuss the emergence of digital epidemiology.

Main Methods:

• Leveraging machine learning and big data analytics.
• Utilizing real-world data for epidemiological research.
• Integrating omics data with digital health approaches.

Main Results:

• Accelerated collection and processing of biomedical data.
• Enhanced testing of scientific hypotheses.
• Emergence of digital epidemiology tools.

Conclusions:

• Omics and digital technologies are crucial for modern population health research.
• New methods require further validation and standardization.
• These technologies facilitate personalized disease mechanisms and population-level extrapolation.