From polygenic risk to digital twins: the future of personalised cardiovascular medicine

Ibrahim Antoun1,2, Alkassem Alkhayer3, Ahmed Abdelrazik1

  • 1Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester, United Kingdom.

PubMed

Insights

Precision cardiology offers personalized cardiovascular disease (CVD) care by integrating genomics, multi-omics, and AI. This approach aims to improve risk prediction, diagnosis, and treatment strategies for better patient outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Genomics
  • Computational Biology

Background:

  • Cardiovascular disease (CVD) is a leading global health burden.
  • Current generalized approaches inadequately address individual variability in CVD risk, progression, and treatment response.
  • Precision cardiology leverages advanced technologies for individualized patient care.

Purpose of the Study:

  • To review advances in precision cardiology across genomic, omics, digital, and therapeutic domains.
  • To discuss translational gaps and implementation challenges in personalized cardiovascular medicine.
  • To highlight the potential of precision cardiology to redefine CVD prevention, diagnosis, and treatment.

Main Methods:

  • Review of current literature on genomic, multi-omics, and computational approaches in cardiovascular medicine.
  • Analysis of advances in polygenic risk scores, pharmacogenomics, and AI/machine learning applications.
  • Synthesis of emerging technologies like gene editing and digital twins.

Main Results:

  • Polygenic risk scores enhance population-level cardiovascular risk stratification.
  • Multi-omics platforms provide deeper insights into CVD pathophysiology and biomarkers.
  • Pharmacogenomics guides personalized cardiovascular drug selection and dosing.
  • AI and machine learning improve predictive modeling using diverse data sources.
  • Emerging technologies promise further advancements in personalized cardiovascular care.

Conclusions:

  • Precision cardiology holds significant potential to shift from reactive to proactive, patient-specific cardiovascular care.
  • Implementation challenges include regulatory, data integration, cost, and equity concerns.
  • Multidisciplinary collaboration, robust validation, and equitable infrastructure are crucial for clinical translation.

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