How Digitalization and Algorithms Are Changing the Knowledge in Biomedicine

Abstract excerpt

Algorithms are essential to the modern transformation of biomedicine, enabling the analysis of large and complex biological datasets through computational models, machine learning, and network analysis. These indirect methods allow for quick hypothesis generation, discovering potential interactions, and gaining insights into biological systems that would be difficult to achieve with experimental methods alone. How...

Topics

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• Signal Transduction
• Cell Physiological Phenomena
• Cluster Analysis
• Gene Regulatory Networks
• Genomics
• Models, Genetic
• Models, Statistical
• Systems Biology

Identifiers and source

Literature Corpus work

57c6489f-55aa-5061-bb25-0ad24243f2dd

DOI

10.20944/preprints202507.1086.v1