An Early Stage Researcher's Primer on Systems Medicine Terminology

Area of Science:

• Systems Medicine, interdisciplinary research
• Computational biology and bioinformatics
• Translational medicine and pharmacology

Background:

• Systems Medicine views the human body as an integrated system within its environment.
• This field combines diverse disciplines like medicine, biology, statistics, and data science.
• Semantic heterogeneity across these fields poses challenges for implementation and collaboration.

Purpose of the Study:

• To address semantic issues in Systems Medicine by providing a comprehensive glossary.
• To facilitate understanding and interaction among researchers from different disciplines.
• To support the implementation and advancement of Systems Medicine approaches.

Main Methods:

• Compilation and explanation of over 100 terms relevant to Systems Medicine.
• Inclusion of terms from modeling, data science, and core Systems Medicine concepts.
• Provision of synthetic definitions, application examples, and reference lists for each term.

Main Results:

• A glossary serving as a foundational resource for Systems Medicine researchers.
• Enhanced understanding of unfamiliar terms through clear definitions and examples.
• Facilitation of deeper exploration of topics via curated references.

Conclusions:

• The glossary acts as a crucial 'first aid kit' for navigating Systems Medicine terminology.
• It aims to reduce semantic barriers and promote effective interdisciplinary communication.
• This resource supports researchers in engaging with the complexities of Systems Medicine.