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Artificial Intelligence, Multi-Omics, and Digital Twin Technologies as Converging Pillars of Precision Medicine: A Comprehensive Review

Year: 2026

Type: article

Abstract: Precision medicine is being reshaped by the convergence of artificial intelligence (AI), multi-omics profiling, and digital twin modelling. This review synthesizes spanning bioinformatics, drug discovery, cardiology, and pharmacogenomics to examine how foundation models, generative networks, and patient-specific virtual replicas are jointly advancing disease interpretation and individualized therapy. We describe representative AI architectures across omics layers, summarize digital twin applications in cardiology and oncology, and outline barriers including data heterogeneity, interpretability, cost, and equity. Coordinated, implementation-focused development is identified as the key determinant of clinical translation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22327130

Authors: Konkati Priyaranjan, Venna R Surya Anusha, Koppala RVS Chaitanya

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7208819218

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